Mining engineer Jobs

<p><h4>Description</h4> <p>The Specialist Network Engineer - Cisco Security is responsible for designing, implementing, and supporting enterprise network security solutions with a primary focus on Cisco Identity Services Engine (ISE) and Cisco Firepower technologies (FTD & FMC). The role involves managing network access control (NAC), authentication services, firewall policies, VPN solutions, and advanced threat protection to ensure secure and reliable enterprise infrastructure operations. The engineer works closely with network, infrastructure, and security teams to deploy and optimize security controls across wired, wireless, and remote access environments. Key responsibilities include configuring Cisco ISE for authentication, authorization, posture assessment, and device profiling, as well as administering Cisco Firepower firewalls, IPS, AMP, and URL filtering features.</p> <p>The role also includes monitoring security infrastructure, troubleshooting complex network security issues, performing system upgrades, and responding to security incidents. Additionally, the engineer is responsible for maintaining security documentation, enforcing organizational security standards, and contributing to continuous improvement initiatives to strengthen the company’s overall security posture. The ideal candidate should possess strong hands-on experience with Cisco security technologies, enterprise networking concepts, and security best practices.</p> <h4>Responsibilities</h4> <ul> <li><strong>Cisco ISE (Identity Services Engine) Administration</strong> <ul> <li>Design, deploy, and maintain Cisco ISE solutions for Network Access Control (NAC)</li> <li>Configure and manage AAA services using: <ul> <li>802.1X</li> <li>MAB</li> <li>TACACS+</li> </ul> </li> <li>Manage and support: <ul> <li>Guest access portals</li> <li>BYOD onboarding</li> <li>Posture assessment policies</li> </ul> </li> <li>Integrate Cisco ISE with Active Directory and identity management systems</li> <li>Troubleshoot authentication and authorization issues across wired and wireless environments</li> <li>Define and enforce access control policies based on user roles, device profiling, and security posture</li> </ul> </li> <li><strong>Cisco Firepower (FTD & FMC) Management</strong> <ul> <li>Manage Cisco Firepower (FTD & FMC) environments</li> <li>Firewall policies</li> <li>Site-to-site and remote access VPNs</li> <li>Monitor security features like IPS, AMP, URL filtering</li> <li>Perform upgrades, patching, and security monitoring</li> </ul> </li> <li><strong>Security Operations</strong> <ul> <li>Monitor and troubleshoot network security issues</li> <li>Support incident response and root cause analysis</li> <li>Ensure infrastructure availability and compliance</li> </ul> </li> <li><strong>Documentation & Continuous Improvement</strong> <ul> <li>Maintain documentation of security configurations, policies, and operational procedures</li> <li>Contribute to the development of network security standards and best practices</li> <li>Identify opportunities to improve security posture, operational efficiency, and infrastructure resilience</li> </ul> </li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent experience</li> <li>3–5+ years of experience in network security or security engineering roles</li> <li>Hands-on experience with Cisco ISE and Cisco Firepower (FTD & FMC) technologies</li> <li>Experience supporting enterprise-scale network security environments and NAC solutions</li> <li>Strong understanding of TCP/IP networking, VLANs, routing, switching, and security architectures</li> <li>Experience with VPN technologies, firewall policy management, and security monitoring/log analysis</li> <li>Knowledge of enterprise security best practices, access control frameworks, and incident troubleshooting</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The Network Engineer - Cisco Security is responsible for designing, implementing, and supporting enterprise network security solutions with a primary focus on Cisco Identity Services Engine (ISE) and Cisco Firepower technologies (FTD & FMC). The role involves managing network access control (NAC), authentication services, firewall policies, VPN solutions, and advanced threat protection to ensure secure and reliable enterprise infrastructure operations. The engineer works closely with network, infrastructure, and security teams to deploy and optimize security controls across wired, wireless, and remote access environments. Key responsibilities include configuring Cisco ISE for authentication, authorization, posture assessment, and device profiling, as well as administering Cisco Firepower firewalls, IPS, AMP, and URL filtering features.</p> <p>The role also includes monitoring security infrastructure, troubleshooting complex network security issues, performing system upgrades, and responding to security incidents. Additionally, the engineer is responsible for maintaining security documentation, enforcing organizational security standards, and contributing to continuous improvement initiatives to strengthen the company’s overall security posture. The ideal candidate should possess strong hands-on experience with Cisco security technologies, enterprise networking concepts, and security best practices.</p> <h4>Responsibilities:</h4> <ul> <li><strong>Cisco ISE (Identity Services Engine) Administration</strong></li> <li>Design, deploy, and maintain Cisco ISE solutions for Network Access Control (NAC)</li> <li>Configure and manage AAA services using: <ul> <li>802.1X</li> <li>MAB</li> <li>TACACS+</li> </ul> </li> <li>Manage and support: <ul> <li>Guest access portals</li> <li>BYOD onboarding</li> <li>Posture assessment policies</li> </ul> </li> <li>Integrate Cisco ISE with Active Directory and identity management systems</li> <li>Troubleshoot authentication and authorization issues across wired and wireless environments</li> <li>Define and enforce access control policies based on user roles, device profiling, and security posture</li> <li><strong>Cisco Firepower (FTD & FMC) Management</strong></li> <li>Manage Cisco Firepower (FTD & FMC) environments</li> <li>Firewall policies</li> <li>Site-to-site & remote access VPNs</li> <li>Monitor security features like IPS, AMP, URL filtering</li> <li>Perform upgrades, patching, and security monitoring</li> <li><strong>Security Operations</strong></li> <li>Monitor and troubleshoot network security issues</li> <li>Support incident response and root cause analysis</li> <li>Ensure infrastructure availability and compliance</li> <li><strong>Documentation & Continuous Improvement</strong></li> <li>Maintain documentation of security configurations, policies, and operational procedures</li> <li>Contribute to the development of network security standards and best practices</li> <li>Identify opportunities to improve security posture, operational efficiency, and infrastructure resilience</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent experience</li> <li>3–5+ years of experience in network security or security engineering roles</li> <li>Hands-on experience with Cisco ISE and Cisco Firepower (FTD & FMC) technologies</li> <li>Experience supporting enterprise-scale network security environments and NAC solutions</li> <li>Strong understanding of TCP/IP networking, VLANs, routing, switching, and security architectures</li> <li>Experience with VPN technologies, firewall policy management, and security monitoring/log analysis</li> <li>Knowledge of enterprise security best practices, access control frameworks, and incident troubleshooting</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The Network Engineer - Cisco Security is responsible for designing, implementing, and supporting enterprise network security solutions with a primary focus on Cisco Identity Services Engine (ISE) and Cisco Firepower technologies (FTD & FMC). The role involves managing network access control (NAC), authentication services, firewall policies, VPN solutions, and advanced threat protection to ensure secure and reliable enterprise infrastructure operations. The engineer works closely with network, infrastructure, and security teams to deploy and optimize security controls across wired, wireless, and remote access environments. Key responsibilities include configuring Cisco ISE for authentication, authorization, posture assessment, and device profiling, as well as administering Cisco Firepower firewalls, IPS, AMP, and URL filtering features.</p> <p>The role also includes monitoring security infrastructure, troubleshooting complex network security issues, performing system upgrades, and responding to security incidents. Additionally, the engineer is responsible for maintaining security documentation, enforcing organizational security standards, and contributing to continuous improvement initiatives to strengthen the company’s overall security posture. The ideal candidate should possess strong hands-on experience with Cisco security technologies, enterprise networking concepts, and security best practices.</p> <h4>Responsibilities:</h4> <ul> <li><strong>Cisco ISE (Identity Services Engine) Administration</strong></li> <li>Design, deploy, and maintain Cisco ISE solutions for Network Access Control (NAC)</li> <li>Configure and manage AAA services using: <ul> <li>802.1X</li> <li>MAB</li> <li>TACACS+</li> </ul> </li> <li>Manage and support: <ul> <li>Guest access portals</li> <li>BYOD onboarding</li> <li>Posture assessment policies</li> </ul> </li> <li>Integrate Cisco ISE with Active Directory and identity management systems</li> <li>Troubleshoot authentication and authorization issues across wired and wireless environments</li> <li>Define and enforce access control policies based on user roles, device profiling, and security posture</li> <li><strong>Cisco Firepower (FTD & FMC) Management</strong></li> <li>Manage Cisco Firepower (FTD & FMC) environments</li> <li>Firewall policies</li> <li>Site-to-site & remote access VPNs</li> <li>Monitor security features like IPS, AMP, URL filtering</li> <li>Perform upgrades, patching, and security monitoring</li> <li><strong>Security Operations</strong></li> <li>Monitor and troubleshoot network security issues</li> <li>Support incident response and root cause analysis</li> <li>Ensure infrastructure availability and compliance</li> <li><strong>Documentation & Continuous Improvement</strong></li> <li>Maintain documentation of security configurations, policies, and operational procedures</li> <li>Contribute to the development of network security standards and best practices</li> <li>Identify opportunities to improve security posture, operational efficiency, and infrastructure resilience</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent experience</li> <li>3–5+ years of experience in network security or security engineering roles</li> <li>Hands-on experience with Cisco ISE and Cisco Firepower (FTD & FMC) technologies</li> <li>Experience supporting enterprise-scale network security environments and NAC solutions</li> <li>Strong understanding of TCP/IP networking, VLANs, routing, switching, and security architectures</li> <li>Experience with VPN technologies, firewall policy management, and security monitoring/log analysis</li> <li>Knowledge of enterprise security best practices, access control frameworks, and incident troubleshooting</li> </ul></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 experienced Data Engineer / BI Engineer to design, build, and maintain scalable data platforms that enable analytics, reporting, and data-driven decision making.<br> The role focuses on data ingestion, transformation, modeling, and analytics enablement, with strong emphasis on Python-based data engineering and modern data architectures.<br> Responsibilities: 1.<br> Data Engineering &amp; Data Architecture: Design and maintain scalable data pipelines for ingesting, transforming, and serving structured and semi-structured data.<br> Develop robust data transformation and processing logic using Python and distributed data processing frameworks.<br> Design and maintain analytical data models (dimensional models, fact/dimension tables) optimized for reporting and analytics.<br> Ensure data quality, reliability, performance, and consistency across the data platform.<br> Translate business and analytical requirements into efficient and maintainable data solutions.<br> 2. Analytics &amp; BI Enablement: Build and maintain semantic / analytical models that support enterprise reporting and self-service analytics.<br> Collaborate with analysts and business users to deliver trusted datasets and metrics.<br> Support reporting and dashboarding solutions by providing optimized data structures and calculations.<br> 3. Delivery &amp; Collaboration: Produce clear technical documentation including data models, transformation logic, and pipeline designs.<br> Collaborate with cross-functional teams including data analysts, data engineers, and business stakeholders.<br> Bachelor’s degree in data science, computer science, data engineering, or a relevant field.<br> 1-3 years of BI development experience.<br> 3+ years of cloud-based BI development experience Excellent English language verbal and written communication.<br> Able to analyse and understand complex data.<br> Able to implement modules that have security and authorization frameworks.<br> Strong problem-solving skills Technical Skills: Programming &amp; Data Processing: Strong proficiency in Python for data engineering and analytics use cases.<br> Experience building reusable, testable, and maintainable data transformation code.<br> Data Warehousing &amp; Modeling: Strong knowledge of SQL and analytical query optimization.<br> Solid understanding of data warehousing concepts (ETL/ELT, fact and dimension modeling).<br> Experience designing star and snowflake schemas for analytics and reporting.<br> Understanding of semantic layers and metrics definitions for BI consumption.<br> Cloud &amp; Modern Data Platforms: Experience working with cloud-based data platforms and data lakes(Preferred Azure).<br> Understanding of scalable data architectures (Lakehouse, warehouse, streaming vs batch).<br> BI &amp; Analytics: Experience supporting BI and reporting tools through well-designed datasets and models (Preferred Power BI).<br> Knowledge of analytical calculations, KPIs, and performance optimization for reporting workloads.<br> CI/CD &amp; DevOps (Supporting Skills): Working knowledge of CI/CD concepts applied to data and analytics projects.<br> Experience using version control systems (e.<br>g., Git, Perforce or Apache Subversion) for managing data, code, and artifacts.<br> Familiarity with deployment pipelines and environment promotion for data solutions</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for Senior Linux System Administrators with strong hands-on experience in Red Hat Enterprise Linux (RHEL) and Kubernetes to administer and support the infrastructure underpinning an HPC environment.<br> The role focuses on system reliability, security, performance, automation, and availability .<br> Key Responsibilities Administer and maintain RHEL/Linux servers and HPC compute nodes .<br> Install, configure, patch, upgrade, and troubleshoot Linux operating systems .<br> Manage and support Kubernetes clusters, nodes, and workloads .<br> Perform Linux performance tuning, system hardening, and troubleshooting .<br> Monitor system health, capacity, performance, and availability .<br> Automate infrastructure administration using Ansible, Shell scripting, Python , or similar tools.<br> Support integration between compute, storage, networking, Kubernetes, and HPC platforms .<br> Troubleshoot complex Linux, Kubernetes, and infrastructure issues.<br> Implement security best practices across Linux and Kubernetes environments.<br> Support incident resolution, root-cause analysis, and preventive actions.<br> Maintain system configurations, technical documentation, and operational procedures.<br> Strong hands-on experience as a Linux System Administrator / Linux Engineer / RHEL Administrator .<br> Expert-level administration of Red Hat Enterprise Linux (RHEL) .<br> Strong experience with Kubernetes administration and cluster management .<br> Experience supporting HPC environments / compute clusters is highly preferred.<br> Strong knowledge of: RHEL / Linux Kubernetes Linux performance tuning Linux patching and hardening System monitoring Troubleshooting Capacity management Strong automation/scripting experience with Ansible, Shell/Bash, Python , etc.<br> Experience integrating compute, storage, and networking infrastructure .<br> RHCE – Red Hat Certified Engineer: Mandatory CKA – Certified Kubernetes Administrator: Preferred</span> </div>

<p><strong>ABOUT THE ROLE &amp; TEAM</strong></p><p>The Site Reliability Engineer is responsible for the proactive support of products to ensure high product performance, with a continuous focus on improvement. The role involves identifying and resolving the root causes of operational incidents, implementing solutions to enhance stability, and preventing recurrence. The Site Reliability Engineer manages the creation and maintenance of the event catalogue to trigger events and develops both manual remediation approaches and automated workflows to address alerts. Additionally, they oversee the deployment of IT services and solutions, ensuring seamless integration with minimal disruption.</p><p><strong>WHAT YOU LL DO</strong></p><ul><li>Design, build, and maintain support systems to ensure high availability, scalability, and performance of critical infrastructure.</li><li>Lead incident response and root cause analysis for system failures, including problem investigations and coordination with relevant teams.</li><li>Implement and manage automation for system provisioning, deployment, self-healing, and performance monitoring to increase operational efficiency.</li><li>Establish and monitor SLIs/SLOs, proactively identify performance issues, and drive continuous improvements in service reliability.</li><li>Collaborate with development and operations teams to embed reliability best practices and evolve toward zero-downtime architecture.</li><li>Manage and optimize an event catalog, including event definitions, thresholds, remediation actions, and relevance across products.</li><li>Develop event response protocols, provide training, and ensure efficient handling of incidents across teams.</li><li>Drive post-incident reviews and feedback loops to enhance event definitions and service reliability.</li><li>Oversee quality and readiness of deployments, ensuring clear processes, assigned responsibilities, and minimal disruption.</li><li>Maintain deployment schedules and conduct risk assessments to ensure operational stability and deployment readiness.</li><li>Coordinate and execute deployment plans, manage resources, and incorporate feedback for continuous process improvement.</li><li>Manage CI/CD pipelines and infrastructure as code, ensuring seamless integration between development and operations.</li><li>Support and evolve DevOps practices, automating operational tasks and maintaining tools to drive ongoing efficiency.</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Who You Are:</h2><ul><li>Bachelor's degree in computer science, Information Technology, Engineering, or a related field.</li><li>Several years of experience in IT operations, service management, or infrastructure management, including roles such as Site Reliability Engineer, Problem Manager, or DevOps Manager.</li><li>Proven experience in managing high-availability systems and ensuring operational reliability.</li><li>Extensive experience in root cause analysis (RCA), incident management, and developing permanent solutions for recurring service disruptions.</li><li>Hands-on experience with CI/CD pipelines, automation, system performance monitoring, and the implementation of infrastructure as code.</li><li>Strong background in collaborating with cross-functional teams (development, operations, engineering, etc.) to improve operational processes and service delivery.</li><li>Experience in managing deployments, risk assessments, and optimizing event and problem management processes.</li><li>Familiarity with cloud technologies, containerization, and scalable architecture, including experience with zero-downtime deployment strategies.</li><li>CompTIA Security+ or Certified Kubernetes Administrator (CKA).</li></ul><h2>Functional Skills:</h2><ul><li>Collaboration</li><li>Stakeholder Management</li><li>Service Design</li><li>Communication</li><li>Problem Solving</li><li>Incident Management</li><li>Change Management</li><li>Innovation</li></ul><h2>Technical Skills:</h2><ul><li>Cloud Infrastructure</li><li>Automation &amp; AI Operations</li><li>Monitoring &amp; Diagnostics</li><li>Deployment</li><li>Programming &amp; Scripting Languages</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries.<br> We are currently seeking a Junior AI Engineer – Computer Vision to join our AI engineering team.<br> 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.<br> You will work closely with cross-functional teams to build scalable image and video analytics solutions.<br> This position requires strong expertise in computer vision, deep learning, and software engineering.<br> The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.<br> At InnovationTeam , we foster a culture of innovation, collaboration, and technical excellence, offering an environment where Junior engineers can make a meaningful impact.<br> Role Overview We are seeking a skilled AI Engineer with a strong focus on Computer Vision to develop, optimize, and deploy vision-based AI solutions.<br> The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.<br> Key Responsibilities · Develop and train Computer Vision models for image and video analysis.<br> · Implement solutions for object detection, image classification, segmentation, and tracking.<br> · Prepare and manage datasets, including data cleaning, labelling, and augmentation.<br> · Optimize models for GPU performance, inference speed, and scalability.<br> · Deploy AI models into production using APIs and containerized services.<br> · Integrate Computer Vision models with broader AI and analytics platforms.<br> · Collaborate with software engineers, data scientists, and product teams.<br> · Maintain documentation and ensure code quality and reproducibility.<br> Required Skills &amp; Qualifications · Minimum 2 years of hands-on experience in AI / Machine Learning/Deep learning with a focus on Computer Vision.<br> · Master’s degree in computer science, software Engineering, Artificial Intelligence, Engineering, or a related field.<br> · Strong knowledge of Computer Vision concepts and algorithms.<br> · Practical experience with CNN-based models and modern CV architectures.<br> · Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).<br> · Experience with object detection and segmentation frameworks (e.<br>g., YOLO, Detectron2).<br> · Understanding of model evaluation, metrics, and performance optimization.<br> · Experience deploying models in cloud or on-prem environments.<br> · Familiarity with Docker and basic MLOps practices.<br> · Excellent English communication skills (written and spoken).<br> Nice to Have · Experience with video analytics or real-time inference.<br> · Exposure to Vision Transformers or multimodal AI.<br> · Experience with GPU-based training and inference.<br> · Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).<br> · Background in domains such as healthcare, smart cities, or industrial AI.<br> What We Offer · Work on practical, production-grade Computer Vision solutions.<br> · Access to GPU infrastructure and modern AI tooling.<br> · Collaborative, engineering-focused work environment.<br> · Opportunities for growth and advanced AI exposure.<br> · Competitive compensation package.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>VirtuStaff is seeking a hands-on Full-Stack Software Engineer to join its Jordan-based pre-launch team and progressively bring the development and technical management of its SaaS platform in-house.</p><p>The successful candidate will initially work closely with VirtuStaff’s third-party technical team to complete a structured handover of the existing codebase, architecture, database, cloud environment, integrations and release processes. The engineer will gradually assume responsibility for resolving software defects, modifying workflows, developing new features, managing integrations, supporting releases and maintaining the platform’s day-to-day technical performance.</p><p>The role also includes supporting and improving VirtuStaff’s AI-enabled features, including candidate screening, profile analysis, candidate-to-role matching and workflow automation. These are practical product-level AI functions rather than advanced artificial-intelligence research. The engineer should be comfortable integrating AI services, managing prompts and structured outputs, troubleshooting AI-related workflows and working with external AI APIs or models.</p><p>The engineer will contribute across VirtuStaff’s candidate, client, HR, attendance, training, CRM and administrative systems while collaborating with the Founders, Operations, HR, Sales, Marketing and external technical partners.</p><p><br></p><p><b>Key Responsibilities</b></p><ul><li>Complete a structured handover from the existing third-party development team.</li><li>Understand and document the platform’s front end, back end, database, architecture, infrastructure and integrations.</li><li>Develop, test and release new platform features.</li><li>Modify existing candidate, client, HR, attendance, training and administrative workflows.</li><li>Diagnose and directly fix front-end, back-end, API, integration and database-related defects.</li><li>Gradually assume responsibility for routine platform development and maintenance.</li><li>Maintain and enhance AI-enabled candidate screening and matching workflows.</li><li>Integrate external AI APIs, language models or approved AI services into the platform.</li><li>Configure and improve prompts, structured outputs, validation rules and AI workflow logic.</li><li>Investigate inaccurate, missing, delayed or inconsistent AI-screening and matching results.</li><li>Work with HR and Management to translate approved candidate-matching rules into technical workflows.</li><li>Monitor AI-service errors, response quality, usage and integration performance.</li><li>Maintain safeguards so AI recommendations do not automatically replace approved human decisions.</li><li>Build and maintain CRM, email, analytics, payment, notification and third-party integrations.</li><li>Review application logs, browser errors, API responses and database records.</li><li>Maintain source code using Git, appropriate branching, version control and release documentation.</li><li>Support cloud environments, deployments, monitoring, backups and technical configuration.</li><li>Conduct UAT, regression testing, code reviews and post-release checks.</li><li>Apply appropriate authentication, permissions, privacy and data-security controls.</li><li>Maintain technical documentation, system diagrams and deployment instructions.</li><li>Coordinate with external developers when additional expertise or capacity is required.</li><li>Recommend improvements to platform security, reliability, performance and scalability.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Three to six years of professional full-stack software-development experience.</li><li>Experience developing and maintaining production web applications.</li><li>Strong front-end and back-end programming capability.</li><li>Experience working with relational databases and SQL.</li><li>Strong API, webhook and third-party integration experience.</li><li>Experience using Git, repositories, branches, pull requests and release processes.</li><li>Strong browser, server, database and integration debugging ability.</li><li>Familiarity with cloud hosting, deployment environments, monitoring and application logs.</li><li>Experience taking over or maintaining an existing codebase developed by another team.</li><li>Understanding of authentication, user roles, permissions, MFA and secure data handling.</li><li>Experience conducting UAT, regression testing and post-release verification.</li><li>Ability to translate business requirements into technical solutions.</li><li>Ability to write clean, maintainable and documented code.</li><li>Strong analytical and problem-solving ability.</li><li>Strong English communication; Arabic is strongly preferred.</li><li>Ability to work full-time from VirtuStaff’s Jordan office.</li></ul><p><br></p><p><b>AI-Related Experience</b></p><p>The candidate should also have at least some experience with:</p><ul><li>Integrating AI or large-language-model APIs into web applications.</li><li>Working with tools or services such as OpenAI, Azure OpenAI, Google AI, AWS AI services or equivalent platforms.</li><li>Sending application data to an AI service and processing structured responses.</li><li>Prompt configuration and prompt-version management.</li><li>JSON-based AI outputs and response validation.</li><li>AI-assisted classification, scoring, matching or recommendation workflows.</li><li>Handling AI errors, timeouts, incomplete responses and inconsistent results.</li><li>Protecting personal or confidential data when working with AI services.</li><li>Combining AI recommendations with human review and business rules.</li></ul><p><br></p><p><b>Preferred but Not Mandatory</b></p><ul><li>Experience with recruitment technology, HR platforms, marketplaces or applicant-tracking systems.</li><li>Experience developing candidate-matching, recommendation or ranking features.</li><li>Familiarity with embeddings, semantic search or vector databases.</li><li>Experience with automated testing, CI/CD and cloud security.</li><li>Basic knowledge of Python for AI-service integrations or data processing.</li><li>Experience with AI monitoring, evaluation or prompt testing.</li></ul><p><br></p></div>

<p>Our Mission is to Simplify Life. We are looking to Simplify and automate complex decision-making for customer centric industries, like Utilities, Financial Services, Logistics, and commerce, that drive the world's economies and you have the chance to join the revolution. We are trying to solve huge challenges in today's enterprise that are directly impacting the employee and customer experience. Avertrau2019s DevOps team is responsible for building and maintaining a modern, scalable, highly available infrastructure to power up our products and service for our clients all over the world. We are looking for a skilled DevOps Engineer who has strong practical troubleshooting skills, advanced overall systems knowledge, public clouds, and provisioning tools. The successful candidate will be responsible for:</p><p>Designing, building, shipping, and maintaining distributed systems. Building Monitoring, logging, alerting around our infrastructure and applications. Improving the reliability of our systems and CI/CD pipelines both internally and for our customers. Putting everything into code. Plan for reliability by designing systems to work across our multi-region and multi-cloud environments. Working in close collaboration with multi-functional teams. Technical writing / Documentation. Vendor Management.</p><p><strong>Main Job Responsibilities:</strong></p><ul><li><strong>Continuous Integration and Deployment:</strong><ul><li>Implement and maintain automated build, test, and deployment pipelines using industry-standard tools such as Jenkins, Travis CI, or GitLab CI/CD, Azure DevOpsu2026etc.</li><li>Design and configure continuous integration and delivery workflows to enable frequent and reliable releases of software applications.</li></ul></li><li><strong>Infrastructure Automation:</strong><ul><li>Develop and maintain infrastructure-as-code using tools like Terraform, Ansible, or CloudFormation to automate the provisioning and configuration of cloud-based environments.</li><li>Implement and manage containerization technologies like Docker and orchestration platforms like Kubernetes for scalable and resilient application deployments.</li></ul></li><li><strong>Monitoring and Performance Optimization:</strong><ul><li>Monitor system performance and troubleshoot issues related to scalability, reliability, and availability.</li><li>Implement and configure monitoring tools such as Prometheus, Grafana, New Relic, or ELK Stack to proactively identify bottlenecks and optimize system performance.</li></ul></li><li><strong>Collaboration and Communication:</strong><ul><li>Collaborate with cross-functional teams, including developers, system administrators, and quality assurance, to improve the development and deployment processes.</li><li>Act as a bridge between development and operations teams, facilitating effective communication and knowledge sharing.</li></ul></li><li><strong>Security and Compliance:</strong><ul><li>Implement and enforce security best practices throughout the software development lifecycle.</li><li>Ensure compliance with relevant regulations, industry standards and internal policies.</li></ul></li><li><strong>Documentation and Knowledge Sharing:</strong><ul><li>Document infrastructure configurations, deployment processes, and troubleshooting guidelines.</li><li>Contribute to internal knowledge sharing initiatives and help in developing best practices within the organization.</li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>5+ years of relevant of hands-on experience in the DevOps industry</li><li>Containerization (Kubernetes and OpenShift)</li><li>Configuration tools and frameworks (Terraform, Istio, Helm)</li><li>Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing, SSL Certificates) and virtualization vs containerization</li><li>Public clouds: AWS/Azure/GCP/Mendix</li><li>Security Awareness</li><li>Experience with CI/CD concepts</li><li>Experience in conducting IT audits, both internal and external</li><li>Fluent in both oral and written English</li><li>Time Management skills</li><li>Capable of succeeding in a very dynamic and fast-paced environment</li><li>Able to work individually as well as being a cooperative team player</li><li>Knowledge of programming languages</li><li>Strong problem-solving skills</li><li>Good attention to detail</li><li>Excellent organisational and time management skills, and the ability to work on multiple projects at the same time</li><li>Awareness of DevOps and Agile principles.</li><li>Strong understanding of software development methodologies and the SDLC.</li><li>Proficiency in scripting languages such as Bash, Python, or PowerShell.</li><li>Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.</li><li>Knowledge of containerization technologies like Docker and container orchestration platforms like Kubernetes.</li><li>Familiarity with infrastructure automation tools such as Terraform, Ansible, or CloudFormation.</li><li>Experience with CI/CD tools like Jenkins, Travis CI, or GitLab CI/CD.</li><li>Understanding of networking concepts and protocols.</li><li>Knowledge of monitoring and logging tools such as Prometheus,New Relic Grafana, or ELK Stack.</li><li>Strong problem-solving and troubleshooting skills.</li><li>Excellent communication and collaboration skills.</li><li>AWS Certified DevOps Engineer Professional.</li><li>AWS Certified DevOps Engineer - Professional Certification.</li><li>Azure DevOps Engineer Expert.</li><li>Certified Kubernetes Administrator (CKA).</li><li>Docker Certified Associate (DCA).</li><li>Puppet Certified Professional.</li><li>Degree in Computer Science or related field (Master / Bachelor level).</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Our Mission is to Simplify Life. We are looking to Simplify and automate complex decision-making for customer centric industries, like Utilities, Financial Services, Logistics, and commerce, that drive the world's economies and you have the chance to join the revolution. We are trying to solve huge challenges in today's enterprise that are directly impacting the employee and customer experience.</p><p><br></p><p>Avertra’s DevOps team is responsible for building and maintaining a modern, scalable, highly available infrastructure to power up our products and service for our clients all over the world.&nbsp;We are looking for a skilled DevOps Engineer who has strong practical troubleshooting skills, advanced overall systems knowledge, public clouds, and provisioning tools. The successful candidate will be responsible for:</p><p>● Designing, building, shipping, and maintaining distributed systems.</p><p>● Building Monitoring, logging, alerting around our infrastructure and applications.</p><p>● Improving the reliability of our systems and CI/CD pipelines both internally and for our customers.</p><p>● Putting everything into code.</p><p>● Plan for reliability by designing systems to work across our multi-region and multi-cloud environments.</p><p>● Working in close collaboration with multi-functional teams.</p><p>● Technical writing / Documentation.</p><p>● Vendor Management.</p><p><br></p><p><b>Main Job Responsibilities:</b></p><p><b>​</b></p><p><b>Continuous Integration and Deployment:</b></p><p>• Implement and maintain automated build, test, and deployment pipelines using industry-standard tools such as Jenkins, Travis CI, or GitLab CI/CD, Azure DevOps…etc.</p><p>• Design and configure continuous integration and delivery workflows to enable frequent and reliable releases of software applications.</p><p><br></p><p><b>Infrastructure Automation:</b></p><p>• Develop and maintain infrastructure-as-code using tools like Terraform, Ansible, or CloudFormation to automate the provisioning and configuration of cloud-based environments.</p><p>• Implement and manage containerization technologies like Docker and orchestration platforms like Kubernetes for scalable and resilient application deployments.</p><p><br></p><p><b>Monitoring and Performance Optimization:</b></p><p>• Monitor system performance and troubleshoot issues related to scalability, reliability, and availability.</p><p>• Implement and configure monitoring tools such as Prometheus, Grafana, New Relic, or ELK Stack to proactively identify bottlenecks and optimize system performance.</p><p><br></p><p><b>Collaboration and Communication:</b></p><p>• Collaborate with cross-functional teams, including developers, system administrators, and quality assurance, to improve the development and deployment processes.</p><p>• Act as a bridge between development and operations teams, facilitating effective communication and knowledge sharing.</p><p><br></p><p><b>Security and Compliance:</b></p><p>• Implement and enforce security best practices throughout the software development lifecycle.</p><p>• Ensure compliance with relevant regulations, industry standards, and internal policies.</p><p><br></p><p><b>Documentation and Knowledge Sharing:</b></p><p>• Document infrastructure configurations, deployment processes, and troubleshooting guidelines.</p><p>• Contribute to internal knowledge sharing initiatives and help in developing best practices within the organization.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Experience:&nbsp;</b></p><p><br></p><p>● 5+ years of relevant of hands-on experience in the DevOps industry</p><p>● Containerization (Kubernetes and OpenShift)</p><p>● Configuration tools and frameworks (Terraform, Istio, Helm)</p><p>● Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing, SSL Certificates) and virtualization vs containerization</p><p>● Public clouds: AWS/Azure/GCP/Mendix</p><p>● Security Awareness</p><p>● Experience with CI/CD concepts</p><p>● Experience in conducting IT audits, both internal and external</p><p><br></p><p><b>Needed Competencies:</b></p><p><br></p><p>● Fluent in both oral and written English</p><p>● Time Management skills</p><p>● Capable of succeeding in a very dynamic and fast-paced environment</p><p>● Able to work individually as well as being a cooperative team player</p><p>● Knowledge of programming languages</p><p>● Strong problem-solving skills</p><p>● Good attention to detail</p><p>● Excellent organisational and time management skills, and the ability to work on multiple projects at the same time</p><p>● Awareness of DevOps and Agile principles.</p><p><br></p><p><b>Knowledge, Skills and Abilities:</b></p><p><br></p><p>• Strong understanding of software development methodologies and the SDLC.</p><p>• Proficiency in scripting languages such as Bash, Python, or PowerShell.</p><p>• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.</p><p>• Knowledge of containerization technologies like Docker and container orchestration platforms like Kubernetes.</p><p>• Familiarity with infrastructure automation tools such as Terraform, Ansible, or CloudFormation.</p><p>• Experience with CI/CD tools like Jenkins, Travis CI, or GitLab CI/CD.</p><p>• Understanding of networking concepts and protocols.</p><p>• Knowledge of monitoring and logging tools such as Prometheus,New Relic Grafana, or ELK Stack.</p><p>• Strong problem-solving and troubleshooting skills.</p><p>• Excellent communication and collaboration skills.</p><p><br></p><p><b>Preferences:</b></p><p><br></p><p>● AWS Certified DevOps Engineer Professional.</p><p>● AWS Certified DevOps Engineer - Professional Certification.</p><p>● Azure DevOps Engineer Expert.</p><p>● Certified Kubernetes Administrator (CKA).</p><p>● Docker Certified Associate (DCA).</p><p>● Puppet Certified Professional.</p><p><br></p><p><b>Education:</b> Degree in Computer Science or related field (Master / Bachelor level).</p><p><br></p><p><b>Travel:</b>&nbsp;&nbsp;Based on customer requirement(s).</p><p><br></p><p><b>Work Schedule:</b>&nbsp;&nbsp;Local Avertra office schedule.</p><p><br></p><p>Benefits</p><p><b>What can we promise you:</b></p><ul><li>You’ll join a global family of awesome, passionate people that are working together to build a sustainable, scalable ecosystem committed to using logic to create a better experience.</li><li>We want you to help us become better. You will be empowered to drive change and innovate.</li><li>That we will invest in you. We will give you the opportunity to master your domain and drive excellence.</li></ul><p><br></p></div>

<p>1. JOB DETAILS:</p><p>Job Title: Analyst, ML Engineer</p><p>Reports to: Sr. Manager, IT Digital Platforms &amp; Digital Transformation</p><p>Department: IT Applications</p><p>Function: IT Applications</p><p>Company: Hikma Holding</p><p>2. JOB PURPOSE:</p><p>The ML Engineer is responsible for supporting the development, testing, and deployment of machine learning models and AI-powered pipelines across Hikma Pharmaceuticals. Working as part of the AI team under the Sr. Manager, IT Digital Platforms &amp; Digital Transformation, and under the close guidance of the AI Architect and AI developers team, this role provides hands-on ML engineering support across the solution lifecycle from data preparation and model experimentation through to deployment and monitoring. The ML Engineer is expected to develop their machine learning and data engineering skills rapidly within a structured team environment, contributing to Hikma's enterprise AI transformation while building foundational expertise in regulated pharmaceutical AI delivery.</p><p>3. JOB DIMENSIONS:</p><p>Number of Staff Supervised: Direct Reports Count: 0 (0 vacant)</p><p>Indirect Reports Count: N/A</p><p>Financial Budget (USD): Supports AI initiative delivery under team supervision</p><p>4. KEY ACCOUNTABILITIES:</p><p>ML Model Development &amp; Experimentation</p><ul><li>Support the development, training, and evaluation of machine learning models under the guidance of the AI Architect and senior team members, following approved architecture standards and initiative briefs</li><li>Assist in ML experimentation activities including data exploration, feature engineering, model selection, and performance evaluation using standard frameworks and cloud AI services</li><li>Apply foundational ML techniques across classical machine learning, NLP, and generative AI domains relevant to Hikma's business areas including Supply Chain, Quality, HR, and Commercial</li><li>Support the implementation of LLM-based solutions including RAG pipelines, prompt engineering, and embedding-based retrieval under senior technical guidance</li><li>Maintain experiment tracking logs, model versioning records, and reproducibility documentation using tools such as ML flow or Azure Machine Learning</li><li>Produce clear and accurate model development artefacts including experiment summaries, performance reports, and model documentation</li></ul><p>Data Engineering &amp; Feature Development</p><ul><li>Assist in building and maintaining ML data pipelines covering data ingestion, transformation, validation, and basic feature engineering for model training and inference workflows</li><li>Support data quality checks, anomaly detection, and dataset preparation activities to ensure ML model inputs meet required standards</li><li>Collaborate with the Data &amp; Analytics team to access and understand available data assets, following data governance and privacy guidelines</li><li>Work with structured data sources including relational databases and enterprise system extracts, developing proficiency in handling diverse data types over time</li></ul><p>ML-Ops &amp; Production Support</p><ul><li>Support the implementation and maintenance of ML-Ops pipeline components including model packaging, deployment, and basic performance monitoring under senior team guidance</li><li>Assist in deploying ML models to cloud environments using approved tooling (Azure Machine Learning, ML-flow, Docker, or equivalent)</li><li>Monitor deployed models for observable performance issues and flag anomalies to the AI Architect or senior team members for investigation</li><li>Maintain accurate records in model registries including versioning and change logs across AI initiatives</li><li>Contribute to the documentation and validation support activities for ML models deployed in GxP-regulated contexts, following defined compliance processes</li></ul><p>Quality Assurance &amp; Testing</p><ul><li>Support the development and execution of testing activities for ML solutions, including data, pipeline tests, model performance checks, and basic integration testing</li><li>Actively participate in code reviews and technical walkthroughs, applying feedback to improve code quality and engineering practices</li><li>Document assigned ML components clearly including data preparation steps, model configurations, test results, and known issues</li><li>Identify and escalate technical issues encountered across the ML stack in a timely and structured manner</li></ul><p>5. Behavioural Competencies:</p><p>Initiative &amp; Drive for Results - Very Good</p><p>Change &amp; Innovation - Very Good</p><p>Communication &amp; Influence - Good</p><p>Developing &amp; Empowering others - Good</p><p>Problem Solving &amp; decision Making - Excellent</p><p>Strategic Thinking - Good</p><p>6. Technical Competencies:</p><p>ML Model Development &amp; Experimentation - Good</p><p>Python &amp; ML Frameworks (PyTorch, TensorFlow, scikit-learn, HuggingFace) - Good</p><p>MLOps &amp; Model Lifecycle Tooling - Good</p><p>Data Engineering &amp; Pipeline Support - Good</p><p>Cloud AI/ML Services (Azure ML) - Good</p><p>Generative AI &amp; LLM Development (RAG, LangChain, Semantic Kernel) - Very Good</p><p>Model Explainability &amp; Responsible AI Awareness - Very Good</p><p>Containerization &amp; CI/CD Basics (Docker, Git, Azure DevOps) - Good</p><p>7. COMMUNICATIONS &amp; WORKING RELATIONSHIPS:</p><p>Internal: AI Champions Network, AI Architect, AI Developer, Data &amp; Analytics Team</p><p>External: AI/ML Vendors &amp; Solution Providers, Implementation Partners, Open Source &amp; Developer Communities</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in computer science, Software Engineering, Data Science, Mathematics, Statistics, or related technical field *(Required)*</li><li>Master's degree in Artificial Intelligence, Machine Learning, Data Science, or Computer Science *(Preferred)*</li><li>Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty, or Google Professional ML Engineer certification *(Preferred)*</li><li>Relevant ML/AI certifications (e.g., DeepLearning.AI ML Specialization, Databricks ML Associate, fast.ai) *(Preferred)*</li><li>0-1 year of professional experience in software development, data science, machine learning, or a related technical field (fresh graduates are welcome to apply)</li><li>Demonstrated hands-on experience with ML model development through academic projects, internships, capstone projects, hackathons, or personal projects</li><li>Familiarity with cloud AI/ML platforms (Azure, AWS, or GCP) gained through coursework, self-study, or practical experimentation *(Preferred)*</li><li>Any exposure to generative AI, LLM tools, or RAG concepts through academic or personal projects *(Preferred)*</li><li>Pharmaceutical, healthcare, life sciences, or other regulated industry exposure *(Preferred but not expected)*</li><li>Working knowledge of Python and foundational ML/DL libraries including scikit-learn, pandas, NumPy, and at least one deep learning framework</li><li>Practical exposure to training and evaluating ML models including classical machine learning and at least one of: NLP, computer vision, or time-series analysis through academic, personal, or internship projects</li><li>Basic familiarity with generative AI concepts including Large Language Models, prompt engineering, and RAG principles *(Preferred)*</li><li>Awareness of ML-Ops concepts and tools such as ML-flow or Azure Machine Learning for experiment tracking and model management *(Preferred)*</li><li>Basic experience with data preparation, cleaning, transformation, and exploratory data analysis using Python</li><li>Familiarity with version control using Git and basic software development practices including code reviews and testing</li><li>Basic understanding of cloud platforms (Azure, AWS, or GCP) and awareness of cloud-based AI/ML services *(Preferred)*</li><li>Familiarity with containerization concepts (Docker) and CI/CD basics *(Preferred)*</li><li>Awareness of responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security practices relevant to ML development</li><li>Any familiarity with pharmaceutical business processes or GxP compliance in a technology context is a plus *(Preferred)*</li></ul>

</span></i></b></span></span></p> <p align="center" ><span >A leading Industrial Engineering Group is looking to fill the following vacancy:<span ></span></span></p> <p align="center" ><b><span ><span >Production/ Plant Manager</span></span></b><b><span ><span ></span></span></b></p> <ul> <li><span >Bachelor’s degree in Engineering, Industrial Management, or related field</span></li> <li><span >Strong leadership, team management, and problem-solving skills</span></li> <li><span >Proficiency in production planning, workflow optimization, and process management</span></li> <li><b><span >Strong experience in Wood & Furniture production management is a plus</span></b></li> <li><span >Knowledge of resource allocation and supply chain coordination</span></li> <li><span >Excellent communication and interpersonal skills to foster teamwork and collaboration</span></li> <li><span >Analytical thinking and the ability to make data-driven decisions</span></li> </ul> <p align="center" ><b><span ><span >Production Engineer</span></span></b></p> <ul> <li><span >Bachelor degree in Engineering.</span></li> <li><span >Previous experience (<span >1<span >-3<span > years) in Production/ Plant Management (Preferably in Furniture/ Wood Works production) </span></span></span></span></li> <li><span >Strong analytical and problem-solving skills, leadership skills.</span></li> <li><span >Excellent attention to details</span></li> <li><span >Effective communication and teamwork abilities</span></li> </ul> <p align="center" ><span >Qualified candidates should send their CVs with the job title by e-mail to</span></p> <p align="center" ><a href="mailto:vacancies111@yahoo.com"><b><span >vacancies111@yahoo.com</span></b></a><span ></span></p>

<p><h4>Description</h4> <p>DeepSource Technologies is looking for a senior cloud infrastructure engineer specializing in Google Cloud Platform (GCP) to join our Riyadh, KSA team. In this senior role, you will design, implement, and manage scalable and secure cloud infrastructure solutions on GCP to support our dynamic business needs. You will collaborate closely with development, security, and operations teams to ensure high availability, performance, and cost-efficiency of cloud services.</p> <h4>Key responsibilities:</h4> <ul> <li>Design and implement GCP-based infrastructure solutions including compute, storage, networking, and security services.</li> <li>Manage and optimize cloud resources with a focus on performance, scalability, and cost.</li> <li>Lead infrastructure automation initiatives using Infrastructure as Code (IaC) tools like Terraform and Deployment Manager.</li> <li>Ensure compliance with security best practices and governance policies in cloud environments.</li> <li>Monitor cloud infrastructure and troubleshoot issues to maintain high uptime and reliability.</li> <li>Collaborate with DevOps and development teams to support CI/CD pipelines and cloud-native applications.</li> <li>Stay up-to-date with latest GCP technologies and provide recommendations for cloud adoption and improvement.</li> </ul> <h4>Requirements</h4> <ul> <li>5+ years of experience in cloud infrastructure engineering, specifically with Google Cloud Platform.</li> <li>Strong knowledge of GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud Networking, Cloud IAM, and BigQuery.</li> <li>Experience with Infrastructure as Code tools like Terraform, Deployment Manager, or similar.</li> <li>Proficient with containerization and orchestration technologies such as Docker and Kubernetes.</li> <li>Strong understanding of networking, security, and compliance in cloud environments.</li> <li>Experience with monitoring and logging tools such as Stackdriver, Prometheus, or Grafana.</li> <li>Excellent troubleshooting and problem-solving skills.</li> <li>Certification such as Google Cloud Professional Cloud Architect or Professional Cloud Engineer is preferred.</li> <li>Good communication skills and ability to work in a dynamic team environment.</li> </ul> <h4>Benefits</h4> <p>This is a 3-month, full-time onsite engagement offering a premium experience for the right consultant:</p> <ul> <li>Global mobility: full coverage of visa costs and airline tickets (round trip).</li> <li>Medical insurance.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>DeepSource Technologies is looking for a senior cloud infrastructure engineer specializing in Google Cloud Platform (GCP) to join our Riyadh, KSA team. In this senior role, you will design, implement, and manage scalable and secure cloud infrastructure solutions on GCP to support our dynamic business needs. You will collaborate closely with development, security, and operations teams to ensure high availability, performance, and cost-efficiency of cloud services.</p> <h4>Key responsibilities:</h4> <ul> <li>Design and implement GCP-based infrastructure solutions including compute, storage, networking, and security services.</li> <li>Manage and optimize cloud resources with a focus on performance, scalability, and cost.</li> <li>Lead infrastructure automation initiatives using Infrastructure as Code (IaC) tools like Terraform and Deployment Manager.</li> <li>Ensure compliance with security best practices and governance policies in cloud environments.</li> <li>Monitor cloud infrastructure and troubleshoot issues to maintain high uptime and reliability.</li> <li>Collaborate with DevOps and development teams to support CI/CD pipelines and cloud-native applications.</li> <li>Stay up-to-date with latest GCP technologies and provide recommendations for cloud adoption and improvement.</li> </ul> <h4>Requirements</h4> <ul> <li>5+ years of experience in cloud infrastructure engineering, specifically with Google Cloud Platform.</li> <li>Strong knowledge of GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud Networking, Cloud IAM, and BigQuery.</li> <li>Experience with Infrastructure as Code tools like Terraform, Deployment Manager, or similar.</li> <li>Proficient with containerization and orchestration technologies such as Docker and Kubernetes.</li> <li>Strong understanding of networking, security, and compliance in cloud environments.</li> <li>Experience with monitoring and logging tools such as Stackdriver, Prometheus, or Grafana.</li> <li>Excellent troubleshooting and problem-solving skills.</li> <li>Certification such as Google Cloud Professional Cloud Architect or Professional Cloud Engineer is preferred.</li> <li>Good communication skills and ability to work in a dynamic team environment.</li> </ul> <h4>Benefits</h4> <p>This is a 3-month, full-time onsite engagement offering a premium experience for the right consultant:</p> <ul> <li>Global mobility: full coverage of visa costs and airline tickets (round trip).</li> <li>Medical insurance.</li> </ul></p><p></p>

Job Purpose<p></p> <div> <p>The Senior PreSales Engineer IT Infrastructure Systems is responsible for end-to-end technical solutioning across enterprise compute, storage, hyperconverged infrastructure (HCI), virtualization, backup, disaster recovery, and hybrid cloud integration.</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> <strong><span>1. JOB DETAILS:</span></strong> <br> <span>Job Title:</span> <span>Analyst, ML Engineer </span> <br> <span>Reports to:</span> <span>Sr. Manager, IT Digital Platforms &amp; Digital Transformation</span> <br> <span>Department:</span> <span>IT Applications </span> <br> <span>Function:</span> <span>IT Applications</span> <br> <span>Company:</span> <span>Hikma Holding</span> <br> <strong><span>2. JOB PURPOSE:</span></strong> <br> </span><p><span>The ML Engineer is responsible for supporting the development, testing, and deployment of machine learning models and AI-powered pipelines across Hikma Pharmaceuticals. Working as part of the AI team under the Sr. Manager, IT Digital Platforms &amp; Digital Transformation, and under the close guidance of the AI Architect and AI developers’ team, this role provides hands-on ML engineering support across the solution lifecycle — from data preparation and model experimentation through to deployment and monitoring. The ML Engineer is expected to develop their machine learning and data engineering skills rapidly within a structured team environment, contributing to Hikma's enterprise AI transformation while building foundational expertise in regulated pharmaceutical AI delivery.</span></p><br> <br> <strong><span>3. JOB DIMENSIONS:</span></strong> <br> <p><span>Number of Staff Supervised:</span></p><br> <p><span>Direct Reports Count:</span></p><br> <p><span>0 (0 vacant)</span></p><br> <br> <p><span>Indirect Reports Count:</span></p><br> <p><span>N/A</span></p><br> <br> <p><span>Financial Budget (USD):</span></p><br> <p><span>Supports AI initiative delivery under team supervision</span></p><br> <br> <p><span>4. KEY ACCOUNTABILITIES:</span></p><br> <br> <p><span>Description</span></p><br> <br> <p><strong><span>ML Model Development &amp; Experimentation</span></strong></p><br> <br> <ul> <li><span>Support the development, training, and evaluation of machine learning models under the guidance of the AI Architect and senior team members, following approved architecture standards and initiative briefs</span></li> <li><span>Assist in ML experimentation activities including data exploration, feature engineering, model selection, and performance evaluation using standard frameworks and cloud AI services</span></li> <li><span>Apply foundational ML techniques across classical machine learning, NLP, and generative AI domains relevant to Hikma's business areas including Supply Chain, Quality, HR, and Commercial</span></li> <li><span>Support the implementation of LLM-based solutions including RAG pipelines, prompt engineering, and embedding-based retrieval under senior technical guidance</span></li> <li><span>Maintain experiment tracking logs, model versioning records, and reproducibility documentation using tools such as ML flow or Azure Machine Learning</span></li> <li><span>Produce clear and accurate model development artefacts including experiment summaries, performance reports, and model documentation</span></li> </ul> <br> <p><strong><span>Data Engineering &amp; Feature Development</span></strong></p><br> <br> <ul> <li><span>Assist in building and maintaining ML data pipelines covering data ingestion, transformation, validation, and basic feature engineering for model training and inference workflows</span></li> <li><span>Support data quality checks, anomaly detection, and dataset preparation activities to ensure ML model inputs meet required standards</span></li> <li><span>Collaborate with the Data &amp; Analytics team to access and understand available data assets, following data governance and privacy guidelines</span></li> <li><span>Work with structured data sources including relational databases and enterprise system extracts, developing proficiency in handling diverse data types over time</span></li> </ul> <br> <p><strong><span>ML-Ops &amp; Production Support</span></strong></p><br> <br> <ul> <li><span>Support the implementation and maintenance of ML-Ops pipeline components including model packaging, deployment, and basic performance monitoring under senior team guidance</span></li> <li><span>Assist in deploying ML models to cloud environments using approved tooling (Azure Machine Learning, ML-flow, Docker, or equivalent)</span></li> <li><span>Monitor deployed models for observable performance issues and flag anomalies to the AI Architect or senior team members for investigation</span></li> <li><span>Maintain accurate records in model registries including versioning and change logs across AI initiatives</span></li> <li><span>Contribute to the documentation and validation support activities for ML models deployed in GxP-regulated contexts, following defined compliance processes</span></li> </ul> <br> <p><strong><span>Quality Assurance &amp; Testing</span></strong></p><br> <br> <ul> <li><span>Support the development and execution of testing activities for ML solutions, including data, pipeline tests, model performance checks, and basic integration testing</span></li> <li><span>Actively participate in code reviews and technical walkthroughs, applying feedback to improve code quality and engineering practices</span></li> <li><span>Document assigned ML components clearly including data preparation steps, model configurations, test results, and known issues</span></li> <li><span>Identify and escalate technical issues encountered across the ML stack in a timely and structured manner</span></li> </ul> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>1&nbsp;&nbsp;BACKGROUND</p><p>Job Title:&nbsp;&nbsp;Technical Support Engineer&nbsp;</p><p>Location:&nbsp;&nbsp;Jordan-International</p><p>Reference ID:&nbsp;&nbsp;ST-JOB-20260715-TSE</p><p>Posting Date:&nbsp;&nbsp;July 15th, 2026</p><p>Resumes:&nbsp;&nbsp;Please visit Seethru.ai contact page.</p><p><br></p><p>1.1&nbsp;&nbsp;ABOUT SEETHRU AI</p><p>Seethru AI Inc. is a leading manufacturer of x-ray technology for cargo inspection, with headquarters near Boston—USA, and a global network of partners. The role posted herein is based in Jordan and supports the operations in Jordan and globally. Interested applicants are encouraged to email their resumes to our contact page at seethru.ai.</p><p><br></p><p>1.2&nbsp;&nbsp;ROLE DESCRIPTION</p><p>Technical Support Engineer, supporting operations in the factory and field preventive and corrective maintenance, installation, and training for Seethru AI x-ray inspection equipment. The role will be based in Jordan and support Seethru equipment worldwide.</p><p><br></p><p>1.3&nbsp;&nbsp;TRAVEL</p><p>This job requires 25% - 50% travel to support new or existing customers.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>2&nbsp;&nbsp;MINIMUM REQUIREMENTS</p><p>2.1&nbsp;&nbsp;EDUCATION</p><p>B.S. Engineering degree in Electrical, Mechanical, Industrial, Communications, or similar discipline.</p><p><br></p><p>2.2&nbsp;&nbsp;ENGLISH LANGUAGE PROFICIENCY</p><p>Proficient in English; reading, writing, and speaking.</p><p><br></p><p>2.3&nbsp;&nbsp;RESOURCFULL AND SELF-LEARNER</p><p>The successful candidate is not expected to have experience with similar technologies, hence Seethru will provide training. It is very important, however, for the successful candidate to be resourceful and able to find solutions for new problems unseen before.</p><p><br></p><p>2.4&nbsp;&nbsp;SKILLS</p><ol><li>ELECTRICAL: Theoretical understanding and physical handing of electrical circuits with Direct and Alternating Current (DC/AC), Power, Voltage, Current, and Wiring. Shall be able to debug electrical wiring diagrams and circuits.</li><li>MECHANICAL: Principles of Mechanical systems and related Physics including Power, Torque, and Heating and Cooling.</li><li>COMPUTER: Very good working knowledge of Microsoft Windows computers and networks, covering: (a) Operating system and Microsoft Office suite: Outlook, Word, Excel, and PowerPoint; (b) Good understanding of computer networks, with emphasis on TCP/IP v4, IP addresses, and subnets. Configuring WiFi and Ethernet LAN; (c) Good working knowledge with Windows Command Prompt.</li><li>COMMUNICATIONS: Excellent communication skills with Seethru team members, suppliers, and customers. Given the nature of the business, most communications shall be in English.</li><li>TEAM PLAY: Shall be a team player, treating fellow team members with mutual respect.</li><li>TRAINING: Shall be able to train customer on Seethru technologies in Jordan and abroad.</li></ol><p><br></p><p>3&nbsp;&nbsp;RELEVANT EXPERIENCE</p><p>Two (or more) years of relevant experience is highly desired but may be substituted with strong academic credentials and understanding of the required skills above.</p><p>3.1&nbsp;&nbsp;ADDITIONAL EXPERIENCE</p><p>Experience in these areas is not a must, but a strong plus: HVAC, Induction Motors and Motor Drive Controllers, Control Systems, Serial Communications (RS485, RS232, Modbus), PLCs, Teaching, and CCTV Camera Systems.</p><p><br></p><p>4&nbsp;&nbsp;COMPENSATION</p><p>We offer competitive compensation packages, which will be determined based on skills and experience.</p><p><br></p><p>5&nbsp;&nbsp;JOB DUTIES</p><p>As a Technical Support Engineer, travel inside or outside Jordan is expected to support customers. The job duties include the following:</p><ol><li>Support the operations activities in Jordan including Electrical, Mechanical, and Software.</li><li>Respond to customer technical inquires, support diagnostic and resolution of customer technical issues. Support may be performed remotely or may require travel to customer sites.</li><li>Support installation and commissioning of equipment at customer sites.</li><li>Provide technical training to customers on the operation and maintenance of equipment.</li><li>Perform Factory and Site Acceptance Tests (FAT/SAT).</li></ol></div>

<p><h4>Description</h4> <p>The forward deployed AI engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.</p> <p>The work is hands-on and client-facing:</p> <ul> <li>Understand operational workflows and convert them into technical artifacts.</li> <li>Connect to real enterprise systems and data sources.</li> <li>Build context-aware AI agents, retrieval systems, and automation prototypes.</li> <li>Help move the best prototypes toward reliable production deployments.</li> </ul> <h4>Requirements</h4> <p>Build context graphs. Help ingest, clean, structure, and connect data from enterprise systems into context graphs. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.</p> <p>Develop AI and agentic workflows. Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.</p> <p>Connect to enterprise systems. Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.</p> <p>Prototype automation opportunities. Rapidly build proof-of-concepts that show how AI can improve a client's operations – for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.</p> <p>Turn messy business problems into software. Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.</p> <p>Support production deployments. Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.</p> <h4>Ideal candidate</h4> <p>We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.</p> <p>You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.</p> <h4>Technical background</h4> <ul> <li>Strong Python fundamentals.</li> <li>Basic backend development experience.</li> <li>Familiarity with APIs, databases, and cloud services.</li> <li>Interest in LLMs, agents, retrieval, structured outputs, and tool-calling.</li> <li>Familiarity with data pipelines and messy real-world datasets.</li> <li>Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus.</li> <li>AWS experience is a plus.</li> <li>Experience with enterprise data, analytics, or workflow automation is a strong plus.</li> </ul> <h4>What makes someone successful in this role</h4> <ul> <li>You like figuring out how businesses actually operate.</li> <li>You are comfortable working with incomplete, messy, or poorly documented data.</li> <li>You can move quickly from vague requirements to a working prototype.</li> <li>You care about building useful systems, not just impressive demos.</li> <li>You communicate clearly with both engineers and non-technical stakeholders.</li> <li>You are curious about how AI agents can interact with real tools, data, and workflows.</li> <li>You want to learn how to deploy AI into real enterprise environments.</li> </ul> <h4>Why this role is interesting</h4> <p>You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.</p> <p>This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software.</p></p><p></p>

<p><h4>Description</h4> <p>The forward deployed AI engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.</p> <p>The work is hands-on and client-facing:</p> <ul> <li>Understand operational workflows and convert them into technical artifacts.</li> <li>Connect to real enterprise systems and data sources.</li> <li>Build context-aware AI agents, retrieval systems, and automation prototypes.</li> <li>Help move the best prototypes toward reliable production deployments.</li> </ul> <h4>Requirements</h4> <p>Build context graphs. Help ingest, clean, structure, and connect data from enterprise systems into context graphs. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.</p> <p>Develop AI and agentic workflows. Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.</p> <p>Connect to enterprise systems. Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.</p> <p>Prototype automation opportunities. Rapidly build proof-of-concepts that show how AI can improve a client's operations – for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.</p> <p>Turn messy business problems into software. Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.</p> <p>Support production deployments. Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.</p> <h4>Ideal candidate</h4> <p>We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.</p> <p>You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.</p> <h4>Technical background</h4> <ul> <li>Strong Python fundamentals.</li> <li>Basic backend development experience.</li> <li>Familiarity with APIs, databases, and cloud services.</li> <li>Interest in LLMs, agents, retrieval, structured outputs, and tool-calling.</li> <li>Familiarity with data pipelines and messy real-world datasets.</li> <li>Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus.</li> <li>AWS experience is a plus.</li> <li>Experience with enterprise data, analytics, or workflow automation is a strong plus.</li> </ul> <h4>What makes someone successful in this role</h4> <ul> <li>You like figuring out how businesses actually operate.</li> <li>You are comfortable working with incomplete, messy, or poorly documented data.</li> <li>You can move quickly from vague requirements to a working prototype.</li> <li>You care about building useful systems, not just impressive demos.</li> <li>You communicate clearly with both engineers and non-technical stakeholders.</li> <li>You are curious about how AI agents can interact with real tools, data, and workflows.</li> <li>You want to learn how to deploy AI into real enterprise environments.</li> </ul> <h4>Why this role is interesting</h4> <p>You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.</p> <p>This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software.</p></p><p></p>

<p>Job Description We are seeking a talented and motivated Senior Mechanical Engineer to join our team in Amman, Jordan. In this role, you will take the lead on mechanical engineering design tasks, deliver high-quality technical solutions, mentor junior engineers, and collaborate closely with multidisciplinary teams to ensure the successful delivery of engineering projects. This is a key technical delivery role for an engineer ready to work with a high degree of independence and take ownership of design outcomes. Key Responsibilities Lead and deliver the mechanical design of projects from concept through detailed design and construction support. Implement mechanical engineering methodologies, standards, and best practices across assigned projects. Perform and check engineering calculations, technical analyses, and system evaluations to optimize performance, reliability, and cost-effectiveness. Prepare, review, and coordinate mechanical design drawings, specifications, schedules, and technical reports. Collaborate with multidisciplinary teams to develop integrated solutions and resolve design interfaces. Ensure all designs comply with applicable codes, standards, client requirements, and company quality procedures. Identify technical issues, evaluate alternatives, and develop practical, innovative engineering solutions. Support project planning activities and monitor progress against schedules, deliverables, and quality standards. Coordinate with clients, contractors, vendors, and project stakeholders as required. Provide technical guidance, mentoring, and support to graduate and junior engineers. Participate in design reviews, value engineering studies, and quality assurance/quality control processes. Contribute to continuous improvement initiatives and knowledge-sharing within the engineering team. Stay current with industry trends, emerging technologies, sustainability practices, and digital engineering tools.</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications Bachelor's Degree in Mechanical Engineering (Master's degree an advantage). 6 8 years of relevant mechanical engineering experience, with demonstrated ability to lead the mechanical design of projects independently and coordinate across disciplines. Sound working knowledge of relevant international codes and standards. Proven experience in the design and delivery of multidisciplinary engineering projects. Strong analytical, technical, and problem-solving skills. Excellent communication, coordination, and teamwork abilities. Proficiency in industry-standard engineering and design software. Professional registration or working towards chartership/professional membership is an advantage.</p>