وظائف لخريجي كلية الهندسة في الأردن

<p><h4>Key responsibilities</h4> <p><strong>Lead end-to-end project delivery</strong> from initiation through planning, execution, monitoring, and closure.<br> Develop detailed project plans, schedules, budgets, resource plans, and project roadmaps.<br> Coordinate and manage cross-functional project teams to ensure successful project execution.<br> Monitor project progress, identify risks and issues, and implement corrective actions when required.<br> Prepare project documentation, governance artifacts, presentations, and executive reports.<br> Build and maintain strong relationships with internal and external stakeholders.<br> Ensure compliance with the bank's project governance framework, policies, standards, and procedures.<br> Track project budgets, monitor financial performance, and ensure effective cost control.<br> Participate in vendor evaluation, selection, and contract recommendation processes.<br> Monitor vendor performance to ensure delivery meets agreed quality, scope, timelines, and contractual obligations.<br> Measure project performance using KPIs and earned value metrics, providing regular status updates to management.<br> Support business continuity and emergency response activities when required.</p> <h4>Requirements</h4> <p>Bachelor's degree in engineering, computer science, management information systems (MIS), or a related field.<br> Minimum 8 years of project management experience.<br> Experience within the banking or financial services sector is highly preferred.</p> <h4>Professional certifications</h4> <p>Preferred qualifications include:<br> Project Management Professional (PMP)<br> Agile project management certifications (Scrum, PMI-ACP, SAFe, or equivalent)</p> <h4>Required skills</h4> <ul> <li>Project management</li> <li>Project planning & scheduling</li> <li>Budget & resource management</li> <li>Risk & issue management</li> <li>Stakeholder management</li> <li>Project governance</li> <li>Vendor management</li> <li>Executive reporting</li> <li>Leadership & team management</li> <li>Analytical & problem-solving skills</li> <li>Excellent communication skills in Arabic and English</li> <li>Proficiency in project management tools (MS Project, Jira, or equivalent)</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Provide hands-on, on-site maintenance and troubleshooting for local office infrastructure, including networking hardware, switches, firewalls, and server racks.</p><p>Manage all support activities strictly through the ticketing system. Ensure every issue whether an infrastructure fault or a user request is properly logged, categorized, prioritized, and tracked from initiation to resolution.</p><p>Serve as the primary point of contact for Jordan-based users, resolving technical challenges promptly to minimize downtime and maximize productivity.</p><p>Oversee the full lifecycle of IT hardware and software assets within the local branch using the IT Asset Management system.</p><p>Collaborate with global IT teams to implement ITIL best practices and align local operations with corporate security standards.</p><strong>Infrastructure &amp; Networking:</strong> Foundational knowledge and practical experience in basic network support, including configuration and troubleshooting of switches, firewalls, and routing.<br><strong>Ticketing &amp; SLA Management:</strong> Strong proficiency in working within ticket-driven environments (e.g., Jira Service Management), with a disciplined approach to documentation and SLA compliance.<br><strong>Asset Management Systems:</strong> Practical experience using IT Asset Management tools to log, track, and audit physical hardware and software licenses.<br><strong>AI Knowledge:</strong> Foundational understanding or practical familiarity with AI tools and applications to enhance internal IT workflows and automation.</div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>Bachelor s degree in Computer Science, Information Technology, Computer Engineering, or a related field.</p><p>ITIL Foundation certification (or higher) is highly preferred / required.</p><p>Additional certifications (e.g., CCNA, CompTIA Network+) are beneficial.</p><h2>Experience</h2><p>2 – 4 years of on-ground technical support experience, with a heavy focus on network infrastructure maintenance and ticket-based operations management.</p><p></p></section>

<p>The Senior DevOps Engineer executes and refines the DevOps strategy and is instrumental in implementing automation and integration across IT Operations, Application Delivery, Development, and Data Warehousing, ensuring alignment with the organization's DevOps methodology. As a senior member of the team, the role also sets technical standards and mentors junior engineers.</p><p><strong>Main Activities and Responsibilities:</strong></p><ul><li>Design, implement, and maintain scalable CI/CD pipelines using GitHub Actions, following GitOps methodology with ArgoCD to enable reliable and automated Kubernetes deployments.</li><li>Automate infrastructure provisioning and configuration using Terraform, CloudFormation, and Ansible.</li><li>Manage and optimize AWS infrastructure including networking, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53, with a strong focus on automation, security, and cost optimization.</li><li>Deploy and operate Kubernetes (Amazon EKS) workloads using Helm, Kustomize, and Karpenter, ensuring consistent configuration and efficient cluster autoscaling across environments.</li><li>Implement and maintain monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, and JSM/OpsGenie.</li><li>Support and maintain database and data platform infrastructure (MySQL, PostgreSQL, MongoDB, Redshift), ensuring high availability, performance, monitoring, backup, and disaster recovery.</li><li>Manage edge and application security using Cloudflare and enforce secrets management and IAM governance across environments.</li><li>Investigate production incidents, perform root cause analysis, implement preventive actions, and participate in the on-call escalation rotation to drive continuous service reliability improvements.</li><li>Collaborate with other departments and engineering teams to improve processes, automation, and operational excellence.</li><li>Maintain technical documentation and define and review technical standards for infrastructure and automation.</li><li>Maintain technical documentation and automate operational processes such as backup and disaster recovery.</li></ul><p><strong>Required Skills &amp; Experience:</strong></p><ul><li>5+ years of experience in DevOps, AWS Cloud Engineering, or similar roles.</li><li>Strong experience with CI/CD pipeline design and automation using GitHub Actions, ArgoCD, and GitOps workflows.</li><li>Hands-on experience with AWS services including VPC, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53.</li><li>Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.</li><li>Experience managing and operating Kubernetes clusters (preferably EKS), deploying applications with Helm or Kustomize, and configuring cluster autoscaling with Karpenter.</li><li>Strong understanding of containerization with Docker.</li><li>Proficiency scripting in Bash and/or Python for automation.</li><li>Experience implementing monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, or similar platforms.</li><li>Solid understanding of Linux and networking concepts.</li><li>Familiarity with Windows Server a plus.</li><li>Experience with incident management, troubleshooting production systems, and root cause analysis.</li><li>Experience with databases and data platforms such as PostgreSQL, MySQL, MongoDB, and Redshift.</li><li>Clear written communication and experience working in distributed teams</li></ul><p><strong>Further Info:</strong></p><ul><li>Working hours are 08:30 17.00 Sunday to Thursday</li><li>The role is in Jordan</li><li>Friendly and fun working environment</li><li>Hybrid working</li><li>Flexitime</li><li>A competitive compensation package which includes great benefits</li></ul><p><strong>Desired Candidate Profile</strong></p><p>The Senior DevOps Engineer executes and refines the DevOps strategy and is instrumental in implementing automation and integration across IT Operations, Application Delivery, Development, and Data Warehousing, ensuring alignment with the organization's DevOps methodology. As a senior member of the team, the role also sets technical standards and mentors junior engineers.</p><p><strong>Main Activities and Responsibilities:</strong></p><ul><li>Design, implement, and maintain scalable CI/CD pipelines using GitHub Actions, following GitOps methodology with ArgoCD to enable reliable and automated Kubernetes deployments.</li><li>Automate infrastructure provisioning and configuration using Terraform, CloudFormation, and Ansible.</li><li>Manage and optimize AWS infrastructure including networking, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53, with a strong focus on automation, security, and cost optimization.</li><li>Deploy and operate Kubernetes (Amazon EKS) workloads using Helm, Kustomize, and Karpenter, ensuring consistent configuration and efficient cluster autoscaling across environments.</li><li>Implement and maintain monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, and JSM/OpsGenie.</li><li>Support and maintain database and data platform infrastructure (MySQL, PostgreSQL, MongoDB, Redshift), ensuring high availability, performance, monitoring, backup, and disaster recovery.</li><li>Manage edge and application security using Cloudflare and enforce secrets management and IAM governance across environments.</li><li>Investigate production incidents, perform root cause analysis, implement preventive actions, and participate in the on-call escalation rotation to drive continuous service reliability improvements.</li><li>Collaborate with other departments and engineering teams to improve processes, automation, and operational excellence.</li><li>Maintain technical documentation and define and review technical standards for infrastructure and automation.</li><li>Maintain technical documentation and automate operational processes such as backup and disaster recovery.</li></ul><p><strong>Required Skills &amp; Experience:</strong></p><ul><li>5+ years of experience in DevOps, AWS Cloud Engineering, or similar roles.</li><li>Strong experience with CI/CD pipeline design and automation using GitHub Actions, ArgoCD, and GitOps workflows.</li><li>Hands-on experience with AWS services including VPC, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53.</li><li>Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.</li><li>Experience managing and operating Kubernetes clusters (preferably EKS), deploying applications with Helm or Kustomize, and configuring cluster autoscaling with Karpenter.</li><li>Strong understanding of containerization with Docker.</li><li>Proficiency scripting in Bash and/or Python for automation.</li><li>Experience implementing monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, or similar platforms.</li><li>Solid understanding of Linux and networking concepts.</li><li>Familiarity with Windows Server a plus.</li><li>Experience with incident management, troubleshooting production systems, and root cause analysis.</li><li>Experience with databases and data platforms such as PostgreSQL, MySQL, MongoDB, and Redshift.</li><li>Clear written communication and experience working in distributed teams</li></ul>

<p><strong>SCOPE OF WORK</strong></p> <p><strong>JORDAN Himaya Activity</strong></p> <table align="center" border="1" cellpadding="0" cellspacing="0" width="504"> <tbody> <tr> <td > <p><strong>Proposed Personnel</strong></p> </td> <td > <p>TBD</p> </td> </tr> <tr> <td > <p><strong>Position</strong></p> </td> <td > <p>Procurement &amp; Construction Officer</p> </td> </tr> <tr> <td > <p><strong>Maximum Level of Effort</strong></p> </td> <td > <p>Full-time LTTA (18 Months)</p> </td> </tr> <tr> <td > <p><strong>Base of Operations</strong></p> </td> <td > <p>Amman, Jordan</p> </td> </tr> <tr> <td > <p><strong>position reports to</strong></p> </td> <td > <p>Procurement Manager</p> </td> </tr> </tbody> </table> <ol> <li><strong>Project Background:</strong></li> </ol> <p>The Jordan Himaya Activity aims to enhance the availability and quality of essential services and protection for survivors of domestic and sexual violence in Jordan. The project has two outcomes: 1) survivor-centered institutional capacity improved, and 2) legislative frameworks for protecting survivors and responding to violence strengthened. To achieve these outcomes, the project will apply a survivor-centered systems-strengthening approach to improve prevention, response, and protection services, and to support the development and implementation of survivor-centered legislation and policies.&nbsp;</p> <p><strong>Role’s Purpose:</strong></p> <p>The Procurement &amp; Construction Officer is a key member of the Project Team. S/he will play a pivotal role in ensuring integrity, fairness, and openness in procurement processes and adherence to policies, procedures, and controls. The main responsibility for this position is to conduct procurement of goods, services, construction and rehabilitation activities in compliance with DAI policies and procedures, and US requirements. The position requires relevant work experience in the field of procurement and contracting across a variety of industry sectors, contract management, dispute resolution, managing interpersonal relationships and communication, and investigating/following up on vendor issues. The position requires knowledge of the Federal Acquisition Regulations (FAR). The Procurement &amp; Construction Officer will be responsible for gathering complete procurement related backup documentation and auditing prior to submission to the Project´s Finance Team. S/he will develop and release solicitations, conduct price/cost/reasonability analyses, and perform any other related duties as assigned.</p> <p>In addition to procurement responsibilities, the Procurement &amp; Construction Officer will provide technical support for construction and rehabilitation projects, including the review of engineering documents, support during the planning and procurement phases, monitoring construction activities, and coordinating with project stakeholders to ensure quality implementation and timely delivery of project activities.</p> <p><strong>Key Duties and Responsibilities</strong><strong>:</strong></p> <ul> <li><em>General Acquisition &amp; Procurement Responsibilities</em> <ul > <li>Solicit bids and quotes from vendors in adherence with policies &amp; approved requisitions and quarterly procurement plans.</li> <li>Monitor, track and expedite all project procurement activities and delivery status of goods/services.</li> <li>Gather current pricing information independently.</li> <li>Conduct price/cost/reasonability analyses.</li> <li>Help non-procurement staff understand the requirements for submitting accurate and thorough requisitions, cost estimates, statements of work, or to determine other technical specifications.</li> <li>Determine source selection methods for complex procurement to ensure compliance.</li> <li>Assist project staff in coordinating meetings, facilitating discussions, and developing briefings in support of the source selection process.</li> <li>Prepare cost evaluation data, and source selection documentation.</li> <li>Ensure procurements are approved by the required DAI authorities, and/or client approvals are received, before awards are made.</li> <li>Through market research efforts, identify and qualify potential suppliers (and products/services). Ensure that beneficial, ethical and open supplier relationships are created and maintained according to procurement policies.</li> <li>Maintain procurement file system in DAI’s procurement system (WRIKE)</li> <li>Work closely with various home office support staff.</li> <li>Provide technical assessments and recommendations for construction and rehabilitation projects during the planning phase to support project development and procurement activities.</li> <li>Review engineering designs, drawings, technical specifications, Bills of Quantities (BoQs), cost estimates, implementation schedules, health and safety plans, quality assurance and quality control plans, surveys, and equipment requirements. Provide written comments and recommendations to improve technical quality and ensure project requirements are adequately reflected in procurement and contractual documents.</li> </ul> </li> <li><em>Construction Monitoring and Technical Support</em> <ul > <li>Conduct regular site visits to monitor the quality, progress, safety, environmental compliance, and climate risk mitigation measures for construction and rehabilitation activities.</li> <li>Maintain and update project implementation schedules for assigned construction activities and report on project progress, identifying potential risks, delays, and recommended corrective actions.</li> <li>Provide technical advice and practical engineering solutions to address implementation challenges and support the timely completion of construction activities.</li> <li>Prepare site visit reports and communicate findings and recommendations to the project team.</li> <li>Coordinate and communicate with government counterparts, consultants, contractors, suppliers, and other stakeholders on technical and construction-related matters.</li> </ul> </li> <li><em>Procurement Management Systems</em> <ul > <li>Enforce use of DAI’s operations &amp; procurement system, etc.</li> <li>Maintain electronic procurement records &amp; files in various DAI’s system platforms.</li> <li>Help DAI staff understand the use of procurement systems as necessary.</li> </ul> </li> <li><em>Audit </em> <ul > <li>Prepare complete backup documentation for procurement purchases &amp; submit to project’s Finance Team.</li> <li>Conduct daily reviews of procurement related backup documentation to ensure completeness, accuracy, and compliance.</li> <li>Perform regular spot audits of procurement files.</li> <li>Assist and collaborate in external or internal audits as necessary.</li> </ul> </li> <li><em>Compliance/Policies &amp; Procedures</em> <ul > <li>Ensure integrity, compliance, fairness, accuracy, and openness in procurement processes.</li> <li>Ensure adequate competition is achieved, as per DAI policies and procedures.</li> <li>Ensure DAI/US Government and FAR policies, and procedures are followed and enforced.</li> <li>Help other project staff become more familiar, and understand, the DAI policies and procedures related to procurement.</li> </ul> </li> <li>Other duties assigned by the Procurement Manager, DFO, and COP.</li> </ul> <p><strong>Qualifications</strong></p> <ul> <li>Bachelor’s degree in civil engineering, architectural engineering, or a related field.</li> <li>5+ years of responsible experience in procurement, construction procurement, or a related field, including at least 3 years of direct experience in construction, engineering, or site-based activities.</li> <li>Demonstrated experience in construction and rehabilitation procurement, including reviewing engineering designs, technical specifications, Bills of Quantities (BoQs), cost estimates, implementation schedules, and other technical documents.</li> <li>Knowledge of US Government procurement policies and procedures required.</li> <li>Experience with Microsoft office suite.</li> <li>Demonstrated knowledge of internal controls and audit processes.</li> <li>Prior work experience in Jordan.</li> <li>Professional proficiency in English and Arabic is required.</li> </ul> <p><strong>Skills</strong>&nbsp;</p> <ul> <li>An extremely well organized and self-directed individual with sound technical skills, analytical ability, good judgment, strong operational focus.&nbsp; &nbsp;</li> <li>Strong problem-solving skills as well as exceptional customer relations (both internally &amp; externally).</li> <li>Strong commitment to ethics and completing compliant procurement procedures.</li> <li>Excellent written and oral communication skills.</li> <li>Strong understanding of budgets.</li> </ul> <p><strong>Reporting</strong></p> <p>The Procurement and Construction Officer will report to the Procurement Manager.</p> <p>&nbsp;</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the Role <br> <p>We are looking for a highly motivated and passionate candidate to <span>be responsible for leading a client-facing (mobile apps) technical track — in the design, development, and sustained delivery of Zain Jordan's Advanced Business Mobile Applications. Owns their track end-to-end, from architectural decisions and hands-on engineering through to code quality, testing, and documentation, operating with a high degree of autonomy while working in close coordination with the other teams and under the overall technical direction of the Division Leader.</span></p><br><p>Main Responsibilities, will include but will not be limited to:</p><br><ul><li><p><span>Own and lead the full technical delivery of the client-facing mobile applications track, taking end-to-end accountability for architecture, implementation quality, and on-time delivery across the Flutter mobile and web client layer.</span></p><br></li><li><p><span>Design, develop, and maintain all components within the client track, including client-side real-time communication flows, SDK integration, Arabic RTL UI, native Android/iOS components, and the supporting client-side data and state management layers.</span></p><br></li><li><p><span>Collaborate actively to define and align on cross-cutting concerns — including API contracts, authentication flows, real-time event delivery, error handling strategies, and shared architectural decisions — ensuring the client layer integrates seamlessly with back-end services into a unified platform.</span></p><br></li><li><p><span>Ensure the client track meets all enterprise-grade non-functional requirements, including platform security standards (AES-256 encryption, secure token handling, hardware-backed keystores), performance and responsiveness targets, and device and OS compatibility requirements across the supported Android and iOS landscape.</span></p><br></li><li><p><span>Establish and enforce track-level engineering standards — including coding conventions, component design patterns, test coverage expectations, and CI/CD pipeline discipline — to maintain a consistent, high-quality, and maintainable client codebase.</span></p><br></li><li><p><span>Participate in sprint planning, backlog refinement, and technical design sessions, providing accurate effort estimates, surfacing track-specific dependencies, and flagging risks or blockers early.</span></p><br></li><li><p><span>Produce and maintain clear, thorough technical documentation for all components within the assigned track — covering integration patterns, API specifications, deployment procedures, and configuration guides — to support knowledge transfer and long-term platform maintainability.</span></p><br></li></ul> <br> <br><br> What We Need From You <br> <p><span>To be shortlisted for this position, you will need to comply with all of the below requirements:</span></p><br><ul><li><p><span>Holds a bachelor’s degree in </span><span>Computer Science, Computer Engineering</span><span> or any related field</span></p><br></li><li><p><span>Minimum: 3 years of relevant experience.</span></p><br></li></ul> <br> <br><br> About US <br> <p>We are an equal opportunity employer and welcome applicants from all backgrounds, including People with disabilities or people who have undergone severe surgeries and require special accommodations. We provide an inclusive work environment and are committed to accommodating all employees. </p><br><p>If you require accommodations during the application or interview process, please let us know and we will work with you to meet your needs.</p><br> <br> <br> </div>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking an AI solutions architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company. Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy. The AI solutions architect works closely with AI engineers, IT business partners, AI champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI proof of value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.</p> <h4>Responsibilities:</h4> <ol> <li><strong>Strategy & architecture leadership</strong><br> Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments.<br> Collaborate with the architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles.<br> Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders.<br> Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles.<br> Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware.</li> <li><strong>AI solution design & technical oversight</strong><br> Architect end-to-end AI solutions across the company's key business domains including manufacturing, quality & regulatory affairs, R&D, commercial, supply chain, HR, and finance.<br> Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints.<br> Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance.<br> Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability.<br> Guide AI developers in translating architecture designs into well-structured, maintainable, and production-ready solutions.<br> Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows.</li> <li><strong>Platform engineering & infrastructure</strong><br> Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling.<br> Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards.<br> Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers.<br> Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data & Analytics team.<br> Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable.</li> <li><strong>Governance, compliance & responsible AI</strong><br> Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes.<br> Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns.<br> Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository.<br> Coordinate with IT security, data privacy, legal, quality assurance, and regulatory affairs to ensure AI solutions meet all applicable oversight requirements.<br> Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning.</li> <li><strong>Technical leadership & enablement</strong><br> Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI developer team.<br> Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team.<br> Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality.<br> Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments.<br> Represent the company's AI technical standards in cross-functional project delivery teams and steering committees.</li> <li><strong>Stakeholder engagement & communication</strong><br> Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences.<br> Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges.<br> Collaborate with IT business partners and AI champions to provide technical feasibility input into AI opportunity assessments.<br> Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation.</li> </ol> <h4>Requirements</h4> <p>Bachelor's degree in computer science, information technology, software engineering, data science, or related technical field.<br> Master's degree in artificial intelligence, data science, computer science, or related discipline is preferred.<br> Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred.<br> TOGAF or equivalent enterprise architecture certification is preferred.<br> 7–10 years of professional experience in IT, software engineering, data & analytics, or AI/ML implementation.<br> 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment.<br> Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment.<br> Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred.<br> Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred.<br> Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred.</p> <h4>Skills:</h4> <p><strong>Technical competencies:</strong><br> AI/ML architecture & solution design - cloud platform architecture (Azure / AWS / GCP) - ML ops & model lifecycle management - enterprise integration & API design - data architecture & data engineering - AI governance, ethics & responsible AI - pharmaceutical regulatory compliance (GxP, FDA, EMA)</p> <p><strong>AI & technology skills:</strong><br> Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design.<br> Strong hands-on proficiency with Azure AI services, Azure Machine Learning, MLflow, or equivalent MLOps tooling.<br> Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns.<br> Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms.<br> Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines.<br> Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases.<br> Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (preferred).<br> Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A leading global pharmaceutical company is seeking an AI Solutions Architect who is responsible for designing, governing, delivering, and evolving the enterprise AI technical architecture across the company.<br> Acting as the technical authority and delivery lead for AI within the AI Centre of Excellence, this role defines architectural standards, evaluates and governs AI platforms and solutions, prioritising off-the-shelf and vendor-led approaches, and ensures that all AI initiatives are scalable, secure, compliant, and aligned with the company's digital transformation strategy.<br> The AI Solutions Architect works closely with AI Engineers, IT Business Partners, AI Champions, and business function leaders to assess technical feasibility, lead end-to-end solution delivery, support AI Proof of Value (POV) execution, and translate strategic AI ambitions into sound, future-proof solutions, ensuring every initiative is delivered on a technically rigorous and governance-compliant foundation.<br> Responsibilities: 1.<br> Strategy &amp; Architecture Leadership Define and own the enterprise AI technical architecture framework, including reference architectures, design patterns, integration blueprints, and technology standards across cloud and on-premises environments Collaborate with the Architecture advisory board to ensure the AI architecture roadmap is aligned with the company's overall digital transformation strategy and enterprise IT architecture principles Evaluate emerging AI technologies, frameworks, and platforms, providing technical direction and recommendations to senior IT and business stakeholders Lead architectural governance for all AI initiatives, ensuring solutions adhere to approved standards, security requirements, regulatory constraints, and scalability principles Define and maintain the enterprise AI technology stack, including cloud AI services (Azure, AWS, GCP), MLOps platforms, data platforms, and integration middleware 2.<br> AI Solution Design &amp; Technical Oversight Architect end-to-end AI solutions across the company's key business domains including Manufacturing, Quality &amp; Regulatory Affairs, R&amp;D, Commercial, Supply Chain, HR, and Finance Produce high-quality architecture deliverables including solution design documents, architecture decision records (ADRs), technical specifications, data flow diagrams, and integration architecture blueprints Lead technical design reviews and architecture assessments for all AI initiatives in the portfolio, ensuring fitness for purpose, scalability, and compliance Define AI integration patterns with enterprise systems including SAP, MES, LIMS, CRM, and M365 ecosystems, ensuring seamless interoperability Guide AI Developers in translating architecture designs into well-structured, maintainable, and production-ready solutions Oversee the design of MLOps pipelines including model training, validation, deployment, monitoring, and retraining workflows 3.<br> Platform Engineering &amp; Infrastructure Own the architecture and governance of enterprise AI platforms including Microsoft Azure AI, Azure Machine Learning, Microsoft 365 Copilot, and other approved AI tooling Define cloud infrastructure architecture for AI workloads including compute, storage, networking, and security configurations aligned with the company IT standards Establish standards for model lifecycle management including versioning, registry, performance monitoring, drift detection, and retraining triggers Drive the design of data architecture components critical to AI including feature stores, data lakes, vector databases, and real-time data pipelines in collaboration with the Data &amp; Analytics team Ensure AI platforms meet GxP validation, 21 CFR Part 11, and audit trail requirements where applicable 4.<br> Governance, Compliance &amp; Responsible AI Embed regulatory and compliance requirements, including FDA AI/ML guidance, EMA requirements, GxP, GDPR, and HIPAA, into AI architecture design and review processes Define and enforce responsible AI architectural guardrails including model explainability, bias detection, fairness assessments, and human-in-the-loop design patterns Maintain AI architecture governance documentation including standards, patterns, approved toolsets, and deviation processes within the enterprise AI knowledge repository Coordinate with IT Security, Data Privacy, Legal, Quality Assurance, and Regulatory Affairs to ensure AI solutions meet all applicable oversight requirements Support E-AIAB governance processes by providing technical input into initiative assessments, vendor evaluations, and POV planning 5.<br> Technical Leadership &amp; Enablement Provide technical mentorship, code and architecture reviews, and hands-on guidance to the AI Developer team Define engineering best practices, coding standards, and DevOps/MLOps conventions for the AI team Collaborate with external vendors, implementation partners, and cloud providers to assess solutions, conduct technical due diligence, and ensure delivery quality Contribute technical expertise to vendor RFP/RFI processes, proof-of-concept evaluations, and contract assessments Represent the company's AI technical standards in cross-functional project delivery teams and steering committees 6.<br> Stakeholder Engagement &amp; Communication Translate complex technical architecture concepts into clear, accessible language for business stakeholders, executive leadership, and non-technical audiences Serve as the primary technical escalation point for AI platform issues, architecture deviations, and integration challenges Collaborate with IT Business Partners and AI Champions to provide technical feasibility input into AI opportunity assessments Participate in external pharmaceutical AI forums, cloud provider events, and technology conferences to maintain leading-edge awareness and contribute to the company's technical reputation Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related technical field Master's degree in Artificial Intelligence, Data Science, Computer Science, or related discipline is preferred Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or equivalent cloud architecture certification is preferred TOGAF or equivalent enterprise architecture certification is preferred 7–10 years of professional experience in IT, software engineering, data &amp; analytics, or AI/ML implementation 4–6 years of hands-on experience designing and delivering AI/ML solutions on cloud platforms (Azure, AWS, or GCP) in a production environment Proven track record of owning end-to-end AI solution architecture in a complex, cross-functional enterprise environment Experience with Microsoft Azure AI, Azure Machine Learning, and Microsoft 365 Copilot architecture and deployment is preferred Pharmaceutical, healthcare, life sciences, or other regulated industry experience is preferred Experience with GxP validation, 21 CFR Part 11, or regulatory technology compliance in an AI/ML context is preferred Skills: Technical Competencies: AI/ML Architecture &amp; Solution Design - Cloud Platform Architecture (Azure / AWS / GCP) - ML Ops &amp; Model Lifecycle Management - Enterprise Integration &amp; API Design - Data Architecture &amp; Data Engineering - AI Governance, Ethics &amp; Responsible AI - Pharmaceutical Regulatory Compliance (GxP, FDA, EMA) AI &amp; Technology Skills: Deep expertise in AI/ML architecture patterns, including supervised/unsupervised learning, NLP, computer vision, generative AI, and LLM-based solution design Strong hands-on proficiency with Azure AI Services, Azure Machine Learning, MLflow, or equivalent MLOps tooling Solid experience designing and deploying generative AI solutions including RAG architectures, LLM orchestration (LangChain, Semantic Kernel), and enterprise copilot patterns Strong command of enterprise integration architecture including REST APIs, event-driven architecture, message queues, and middleware platforms Proficiency in cloud infrastructure design including IaC (Terraform, Bicep), containerization (Docker, Kubernetes), and CI/CD pipelines Strong understanding of data architecture components including data lakes, lakehouses, feature stores, and vector databases Working knowledge of pharmaceutical business processes including GxP operations, quality management systems, and regulatory affairs workflows (Preferred) Solid understanding of AI governance frameworks, responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security principles relevant to AI deployment</span> </div>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Zaincash ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top Fintech company of 2023 and 2024 as well as GSMA’s Best Mobile Innovation Supporting Humanitarian Situations.<br> The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.<br> For more information, please visit www.<br>zaincash.iq. Responsibilities: 1.<br> AI Strategy and Use Case Development Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.<br> 2. Solution Design and Technical Leadership Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.<br> 3. Proof of Concept and Production Delivery Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.<br> 4. AI Governance, Risk, and Compliance Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with Information Security, Risk, Compliance, Legal, and Internal Audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.<br> 5. Data and Platform Readiness Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.<br> 6. Vendor and Partner Evaluation Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.<br> 7. Team Enablement and Knowledge Sharing Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.<br> Bachelor degree in Computer Science, Software Engineering, Data Science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.<br> Preferred Qualifications: Experience in fintech, banking, payments, telecom, financial services, or regulated industries.<br> Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.<br> Experience with Arabic language AI use cases, OCR, document processing, or image based verification.<br> Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.<br> Experience evaluating AI vendors and preparing business cases for technology investment.<br> Knowledge of data platforms, data pipelines, BI, and analytics environments.<br></span> </div>

<p>Participate in Planning Activities that effectively control the flow of materials through different parts of supply chain (from supplier to customer) to satisfy customer demand. This includes maintaining related master data, schedule production activities, manage the inventory of packaging materials and create batches.</p><p><strong>Duties and Responsibilities:</strong></p><ul><li><strong>Master Data Management:</strong> Code creation on ERP for RM, PM, FG, and Bulk, as per the approved procedures.</li><li><strong>Monthly Production Plan up to 3Months Planning Horizon:</strong> Generate a detailed Production Plan, per work center, using MS Project or any scheduling software. Set with production to ensure all routes and production parameters are correct. Keep follow up the progress of plan and revise the plan where needed. Allocate Batches on ERP considering right formula and route. Initiate Transfer Orders if requested by sales and follow up with production till completion.</li><li><strong>Monthly Delivery Plan:</strong> Daily follow up with related departments to adhere to the plan.</li><li><strong>Packaging Materials MRP:</strong> Generate periodical MRP for Local PM to cover the confirmed sales orders. Follow up with related departments (PRD/QA/RA) to keep active and approved formulas. Follow up with related departments changes of artworks and control the dates. Upload orders on ERP for the needed materials and share it with Procurement Obtain output information (number of finished products production yield, percentage of defective) using the production control systems.</li><li><strong>Follow up and Reporting:</strong> Follow with procurement arrival of PM. Conduct tours in production to ensure adherence of production plans and report any delays.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>B.Sc. in Industrial Engineering or any related field as per the country regulations</p><p>A minimum of 2 years of relevant experience.</p><p>Good written and spoken Arabic and English Languages</p>

<p><h4>Description</h4> <p>Optimiza is on the lookout for talented senior flutter developers to join our innovative team. In this role, you will leverage the Flutter framework to create high-quality, responsive applications for both iOS and Android platforms. Your expertise will play a critical role in delivering exceptional mobile experiences for our clients.</p> <h4>Key responsibilities:</h4> <ul> <li>Design, develop, and maintain advanced mobile applications using Flutter and Dart, ensuring peak performance and responsiveness across various devices.</li> <li>Collaborate with UX/UI designers to translate designs and wireframes into high-quality code, enhancing overall user experience.</li> <li>Integrate third-party libraries and APIs into Flutter applications to enhance functionality and performance.</li> <li>Conduct code reviews and provide constructive feedback to junior developers, promoting coding best practices within the team.</li> <li>Troubleshoot and debug applications to optimize performance and fix issues related to responsiveness, usability, and compatibility.</li> <li>Stay updated on the latest trends and advancements in mobile development, particularly with Flutter and Dart.</li> <li>Contribute to the continuous improvement of development processes and team methodologies.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, software engineering, or a related field.</li> <li>4+ years of experience in mobile application development, with a strong focus on Flutter and Dart.</li> <li>Proficient in native iOS and Android development (Swift, Kotlin) is a plus.</li> <li>Strong understanding of mobile architecture and design patterns (MVC, MVVM).</li> <li>Experience with state management solutions in Flutter (Provider, BLoC, Riverpod).</li> <li>Familiarity with RESTful APIs and libraries for asynchronous data fetching.</li> <li>Ability to collaborate effectively with cross-functional teams.</li> <li>Experience mentoring junior developers is a plus.</li> </ul> <h4>Benefits</h4> <p>Class A health insurance</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <strong>About Acuative :</strong> </p> <p> <strong>Acuative </strong>is a global IT solutions provider committed to delivering top-tier managed services, managed solutions, and network infrastructure support. With a client-first mindset and a relentless drive for excellence, we empower organizations to scale securely and efficiently. Our success is powered by our people we invest in our employees through continuous on-the-job training, mentorship, and assisted learning that helps to grow our teams. At Acuative, you ll find a collaborative environment built on professionalism, innovation, and the shared pursuit of achieving high results. Join us and help shape the future of IT.</p> <p> <strong>Role Overview :</strong> </p> <p>The Implementation Analyst supports network deployment projects by acting as the main technical contact for on-site technicians, troubleshooting complex issues, and improving processes through automation and scripting. The role ensures smooth project execution, accurate documentation, and effective issue resolution.</p> <p> <strong>Key Responsibilities :</strong> </p> <p>- Serve as the primary technical contact during project implementations.</p> <p>- Configure and troubleshoot routers, switches, firewalls, and wireless devices.</p> <p>- Support WAN circuit turn-ups and network technologies (VLANs, OSPF, BGP, ACLs, VPNs, etc.).</p> <p>- Work across vendors such as Cisco, Fortinet, Palo Alto, and Cradlepoint.</p> <p>- Develop scripts and automation to improve efficiency.</p> <p>- Collaborate with Engineering to maintain runbooks and processes.</p> <p>- Act as an escalation point for technical issues.</p> <p>- Track issues and maintain project documentation.</p> <p>- Support team development through mentorship.</p> <p> <strong>Qualifications :</strong> </p> <p>- CCNA (or equivalent experience).</p> <p>- Fortinet NSE4 (or equivalent).</p> <p>- Strong networking fundamentals and troubleshooting skills.</p> <p>- Experience with WAN, telecom, or Wi-Fi environments (preferred).</p> <p>- Process-driven with good documentation and communication skills.</p></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Design, develop, and maintain backend services and APIs under guidance from senior engineers, adapting to evolving requirements. Support, maintain, and improve existing applications and internal tools by fixing bugs, addressing technical debt, and ensuring system stability. Build and maintain internal tools that support operational, support, and product teams. Implement business logic and integrations supporting product features under tight timelines. Write clean, maintainable, and well-tested code aligned with backend standards. Collaborate with frontend engineers, product managers, and designers in an agile, fast-paced environment. Assist in optimizing system performance, reliability, and security across systems. Participate in sprint planning, stand-ups, and code reviews. Contribute to CI/CD pipelines, deployments, and basic monitoring activities. Troubleshoot and resolve backend issues in both development and production environments, including legacy systems. Respond to ad hoc requests for fixes, enhancements, and system support as needed.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 1 2 years of experience in backend development, preferably in a fast-paced or startup environment. Strong proficiency in Node.js / JavaScript for backend services. Experience building and consuming REST APIs. Comfortable working within and maintaining existing codebases, not only building from scratch. Basic understanding of databases (SQL and/or NoSQL) and data modeling concepts. Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus. Basic experience with Git and modern development workflows. Strong understanding of Agile/Scrum methodologies and iterative development. Strong problem-solving skills, adaptability, and willingness to learn quickly. Good communication skills and ability to work in a collaborative, fast-moving team environment.</p><p></p></section>

<p><h4>Job role - principal electrical design engineer – mission critical (data centres)</h4> <p>Verbal and written communication in English is mandatory.</p> <p><strong>Strong experience</strong></p> <ul> <li>Uptime Tier III/IV data center design experience</li> <li>MV/LV, UPS & generator design expertise</li> <li>Data center standards knowledge (Uptime/TIA-942/NFPA)</li> <li>Client-facing leadership and stakeholder management experience</li> </ul> <p><strong>Responsibilities</strong></p> <ul> <li>Translate client requirements into robust electrical designs, including electrical distribution (medium and low voltage), generator, UPS systems, switchgear, busducts, grounding schemes, power monitoring systems, fire detection and alarm system etc.</li> <li>Produce all technical documentation: calculations, system studies, single-line diagrams, layout drawings, specifications, block schematics, and compliance tables.</li> <li>Lead conceptual and detailed design reviews, leveraging advanced analytical tools, BIM/Revit models, and coordination with architectural, mechanical, and building technology disciplines.</li> <li>Mentor and develop junior engineers, share best practices in mission-critical electrical systems, and drive continuous improvement across the design team.</li> <li>Collaborate closely with regional and global teams to grow consulting capabilities and ensure alignment with global design standards.</li> <li>Develop and standardize scalable, repeatable data center solutions to drive consistency and efficiencies across UAE and KSA.</li> <li>Conduct site assessments, capacity planning, and feasibility studies aligned with Uptime Institute Tier requirements.</li> <li>Ensure compliance with international standards (Uptime Institute, TIA-942, NFPA, ASHRAE) and local regulations.</li> <li>Drive business growth by contributing to technical proposals, client presentations, and by identifying opportunities for service enhancements.</li> </ul> <p><strong>Qualifications</strong></p> <ul> <li>Bachelor’s or master’s degree in electrical engineering.</li> <li>10+ years of progressive electrical experience in planning, designing, and delivering large-scale data centers, including multiple Uptime Tier III/IV projects.</li> <li>Demonstrated ability to coordinate with stakeholders in complex, matrixed environments.</li> <li>Professional certifications such as Uptime Tier Certified Professional, PMP, LEED AP, or BICSI RCDD are highly desirable.</li> <li>In-depth knowledge of data centres electrical infrastructure, power distribution topologies, servers, storage, network systems, SCADA systems, power management, ELV, and security.</li> <li>Experienced in data center construction phasing and associated design planning.</li> <li>Strong communication skills for effective client presentations, stakeholder workshops, and cross-functional coordination.</li> <li>Familiarity with local and international codes and standards, including NEC, IEC, ISO 50001, ISO 27001, PDPL, and ESMA.</li> </ul> <p>With over 90 years' combined experience, NES Fircroft is proud to be the world's leading engineering staffing provider spanning the oil & gas, power & renewables, chemicals, construction & infrastructure, life sciences, mining and manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><strong> Job Description<br>Job Role - Principal Electrical Design Engineer – Mission Critical (Data Centres)<br>Verbal and written communication in English is mandatory<br> Strong Experience-&nbsp;</strong></strong><ul><li>Uptime Tier III/IV Data Center Design Experience</li><li>MV/LV, UPS &amp; Generator Design Expertise</li><li>Data Center Standards Knowledge (Uptime/TIA-942/NFPA)</li><li>Client-Facing Leadership and Stakeholder Management Experience</li></ul><strong><br> Responsibilities</strong><br><ul><li>Translate client requirements into robust electrical designs, including electrical distribution (medium and low voltage), generator, UPS systems, switchgear, busducts, grounding schemes, power monitoring systems, fire detection and alarm system etc.</li><li>Produce all technical documentation: calculations, system studies, single-line diagrams, layout drawings, specifications, block schematics, and compliance tables.</li><li>Lead conceptual and detailed design reviews, leveraging advanced analytical tools, BIM/Revit models, and coordination with architectural, mechanical, and building technology disciplines.</li><li>Mentor and develop junior engineers, share best practices in mission-critical electrical systems, and drive continuous improvement across the design team.</li><li>Collaborate closely with regional and global teams to grow consulting capabilities and ensure alignment with global design standards</li><li>Develop and standardize scalable, repeatable data center solutions to drive consistency and efficiencies across UAE and KSA.</li><li>Conduct site assessments, capacity planning, and feasibility studies aligned with Uptime Institute Tier requirements.</li><li>Ensure compliance with international standards (Uptime Institute, TIA-942, NFPA, ASHRAE) and local regulations.</li><li>Drive business growth by contributing to technical proposals, client presentations, and by identifying opportunities for service enhancements&nbsp;</li></ul><strong>Qualifications</strong><br><ul><li>Bachelor’s or Master’s degree in Electrical Engineering.</li><li>10+ years of progressive electrical experience in planning, designing, and delivering large-scale data centers, including multiple Uptime Tier III/IV projects.</li><li>Demonstrated ability to coordinate with stakeholders in complex, matrixed environments.</li><li>Professional certifications such as Uptime Tier Certified Professional, PMP, LEED AP, or BICSI RCDD are highly desirable.</li><li>In-depth knowledge of Data Centres Electrical infrastructure, Power distribution topologies, servers, storage, network systems, SCADA systems, power management, ELV, and security.</li><li>Experienced in data center construction phasing and associated design planning.</li><li>Strong communication skills for effective client presentations, stakeholder workshops, and cross-functional coordination.</li><li>Familiarity with local and international codes and standards, including NEC, IEC, ISO 50001, ISO 27001, PDPL, and ESMA.<br> &nbsp;</li></ul><br>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil &amp; Gas, Power &amp; Renewables, Chemicals, Construction &amp; Infrastructure, Life Sciences, Mining and&nbsp;Manufacturing&nbsp;sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients. <br><br> </div>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Title <br></span><p>Technical Support Engineer</p><br><br><br>Job Scope <br><p>Technical support engineer skilled Virtualization and Infrastructure support engineer with expertise&nbsp;in SAN infrastructure, Backup software, Red Hat, Unix and virtualization technologies.</p><br><br><br>Main Duties and Responsibilities <br><ul> <li>Implement, install, manage and support virtualization environments.</li> <li>Research, diagnosis, troubleshooting and identify solutions to resolve client's issues.</li> <li>Analytical thinking and problem-solving skills as a go-getter with a lot of intellectual curiosity.</li> <li>Reproduce client's environments and test and validate fixes and workarounds.</li> <li>Act as a liaison between clients, technical pre-sales, sales teams and the product development team.</li> <li>Effectively communicate customer feedback and feature requirements to Engineering and Product Management.</li> <li>Follow standard policies and procedures for proper escalation of unresolved issues to the appropriate internal teams.</li> <li>Provide prompt and accurate responses to clients.</li> <li>Ensure proper recording and tracking of all issues in ticketing system from open to resolution.</li> <li>Attend technical issues raised by clients and end users in a timely and efficient manner while ensuring proper prioritization of incoming cases.</li> <li>Support the team with specifications on the company solutions and services, technical details, troubleshooting issues and comparisons pertaining to competitive models.</li> <li>Provide in-depth root cause analysis of reported technical issues and recommend remedial actions to the direct manager.</li> <li>Establish and maintain strong relationships with partners and clients and ensure constant communication and support to clients.</li> <li>Assist in the presentation of effective POC/demo to clients.</li> <li>Develop his skills and achieve professional certificates in his job domain.</li> <li>Take the lead in managing customer escalations and be comfortable holding clients facing meetings on short notice.</li> </ul><br><br>Position Requirements <br><ul> <li>Strong experience in SAN (Storage Area Network) environments, storage systems (preferably IBM, EMC, and HP), and storage virtualization technologies.</li> <li>Strong technical expertise of virtualization technologies, including Red Hat Virtualization, Openshift, VMware, Hyper V, and IBM PowerVM.</li> <li>Very good knowledge in backup software products and enterprise backup and recovery solutions.</li> <li>Relevant certifications (e.g., Red Hat, VMware, HCI) are highly desirable.</li> <li>Solid understanding of networking concepts and technologies.</li> <li>Strong problem-solving skills, with the ability to work both independently and as part of a team.</li> <li>Fluency in English is mandatory.</li> </ul> <p><strong>Key Competencies</strong></p><br> <ul> <li>Communication and Influence</li> <li>Teamwork</li> <li>Accountability</li> <li>Customer Focus</li> <li>Flexibility and Adaptability</li> <li>Functional Expertise</li> <li>Team Building</li> <li>Problem Solving and Decision Making</li> </ul><br><br>Education <br><ul> <li>BSc Degree in computer Science or computer Engineering (preferred)</li> </ul><br><br>Experience <br><ul> <li>2 to 4 years of strong experience in SAN (Storage Area Network) environments, virtualization technologies, data and backup solutions.</li> </ul><br><br><br> </div>