System Architecture jobs in Jordan

<p><h4>Description</h4> <p>The senior network engineer is responsible for leading and executing enterprise-wide migration initiatives from public to private IP addressing across applications, databases, servers, and network devices. This role ensures secure, resilient, and uninterrupted service delivery through careful planning, dependency analysis, execution, validation, and documentation of network changes in complex on-premises, cloud, or hybrid environments.</p> <h4>Key responsibilities</h4> <ul> <li>Conduct a comprehensive assessment of all servers, applications, databases, and network devices currently using public IP addresses.</li> <li>Develop a detailed IP migration plan covering timelines, phased execution, backup strategies, and service rollback procedures when required.</li> <li>Perform application and service dependency analysis to identify and mitigate the impact of IP address migration on interconnected systems.</li> <li>Design and allocate new private IP address ranges, ensuring full compatibility with the existing network architecture and infrastructure standards.</li> <li>Execute the migration from public to private IP addresses in a secure and controlled manner, while maintaining continuous operation of business-critical applications and services.</li> <li>Coordinate with security, systems, application, and operations teams to align firewall rules, routing, NAT, DNS, and access controls with the new private addressing model.</li> <li>Perform post-migration validation and testing to confirm service availability, performance, and network stability.</li> <li>Prepare and maintain comprehensive documentation for all migration phases, including implemented changes, encountered issues, root causes, and applied solutions.</li> <li>Assess and analyze all DNS records to identify unused, obsolete, or outdated entries.</li> <li>Classify DNS records based on criticality, activity level, and operational validity.</li> <li>Remove or update invalid, obsolete, or unnecessary DNS entries in accordance with approved change procedures.</li> <li>Ensure that DNS cleanup activities do not impact applications, services, or end users.</li> <li>Establish periodic review procedures to maintain the accuracy and health of DNS records on an ongoing basis.</li> <li>Document all DNS review, cleanup activities, and applied changes for audit, compliance, and operational reference.</li> </ul> <h4>Requirements</h4> <h4>Required technical skills & experience</h4> <ul> <li>Strong expertise in enterprise network design, IP addressing (IPv4/IPv6), subnetting, and routing protocols.</li> <li>Hands-on experience with IP address migration projects in large-scale environments (on-prem, cloud, or hybrid).</li> <li>Solid knowledge of firewalls, load balancers, DNS, NAT, VPNs, and network security controls.</li> <li>Experience working with high-availability and mission-critical environments, ensuring zero or minimal downtime.</li> <li>Ability to analyze complex application-to-network dependencies.</li> <li>Familiarity with change management, rollback planning, and disaster recovery practices.</li> </ul> <h4>Soft skills & professional competencies</h4> <ul> <li>Strong analytical and problem-solving skills</li> <li>Excellent documentation and technical reporting capabilities</li> <li>Ability to work under pressure and manage high-risk infrastructure changes</li> <li>Effective communication with technical and non-technical stakeholders</li> </ul> <h4>Education & certifications (preferred)</h4> <ul> <li>Bachelor’s degree in computer science, information technology, or a related field</li> <li>Relevant certifications such as CCNP/CCIE, JNCIP/JNCIE, Infoblox technical certifications or equivalent are highly preferred.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The senior network engineer is responsible for leading and executing enterprise-wide migration initiatives from public to private IP addressing across applications, databases, servers, and network devices. This role ensures secure, resilient, and uninterrupted service delivery through careful planning, dependency analysis, execution, validation, and documentation of network changes in complex on-premises, cloud, or hybrid environments.</p> <h4>Key responsibilities</h4> <ul> <li>Conduct a comprehensive assessment of all servers, applications, databases, and network devices currently using public IP addresses.</li> <li>Develop a detailed IP migration plan covering timelines, phased execution, backup strategies, and service rollback procedures when required.</li> <li>Perform application and service dependency analysis to identify and mitigate the impact of IP address migration on interconnected systems.</li> <li>Design and allocate new private IP address ranges, ensuring full compatibility with the existing network architecture and infrastructure standards.</li> <li>Execute the migration from public to private IP addresses in a secure and controlled manner, while maintaining continuous operation of business-critical applications and services.</li> <li>Coordinate with security, systems, application, and operations teams to align firewall rules, routing, NAT, DNS, and access controls with the new private addressing model.</li> <li>Perform post-migration validation and testing to confirm service availability, performance, and network stability.</li> <li>Prepare and maintain comprehensive documentation for all migration phases, including implemented changes, encountered issues, root causes, and applied solutions.</li> <li>Assess and analyze all DNS records to identify unused, obsolete, or outdated entries.</li> <li>Classify DNS records based on criticality, activity level, and operational validity.</li> <li>Remove or update invalid, obsolete, or unnecessary DNS entries in accordance with approved change procedures.</li> <li>Ensure that DNS cleanup activities do not impact applications, services, or end users.</li> <li>Establish periodic review procedures to maintain the accuracy and health of DNS records on an ongoing basis.</li> <li>Document all DNS review, cleanup activities, and applied changes for audit, compliance, and operational reference.</li> </ul> <h4>Requirements</h4> <h4>Required technical skills & experience</h4> <ul> <li>Strong expertise in enterprise network design, IP addressing (IPv4/IPv6), subnetting, and routing protocols.</li> <li>Hands-on experience with IP address migration projects in large-scale environments (on-prem, cloud, or hybrid).</li> <li>Solid knowledge of firewalls, load balancers, DNS, NAT, VPNs, and network security controls.</li> <li>Experience working with high-availability and mission-critical environments, ensuring zero or minimal downtime.</li> <li>Ability to analyze complex application-to-network dependencies.</li> <li>Familiarity with change management, rollback planning, and disaster recovery practices.</li> </ul> <h4>Soft skills & professional competencies</h4> <ul> <li>Strong analytical and problem-solving skills</li> <li>Excellent documentation and technical reporting capabilities</li> <li>Ability to work under pressure and manage high-risk infrastructure changes</li> <li>Effective communication with technical and non-technical stakeholders</li> </ul> <h4>Education & certifications (preferred)</h4> <ul> <li>Bachelor’s degree in computer science, information technology, or a related field</li> <li>Relevant certifications such as CCNP/CCIE, JNCIP/JNCIE, Infoblox technical certifications or equivalent are highly preferred.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Provide senior technical guidance for the Oracle Cloud Infrastructure migration.</p> <p>Review the current cloud environment and assess readiness for production migration.</p> <p>Validate the architecture, configuration, networking, compute, storage, security, access management, monitoring, backup, and recovery setup.</p> <p>Identify technical risks, operational gaps, dependencies, and readiness issues prior to go-live.</p> <p>Support migration preparation, cutover planning, production migration activities, and post-migration stabilization.</p> <p>Provide consultation on issues encountered during migration preparation, testing, and readiness activities.</p> <p>Advise the KSA IT team on post-go-live operations including monitoring, incident handling, access administration, backup, recovery, support procedures, and escalation paths.</p> <p>Review cloud resource utilization and recommend cost optimization opportunities.</p> <p>Prepare and review operational runbooks, administration guides, support procedures, and handover documentation.</p> <p>Collaborate with Group Technology, KSA IT, Infrastructure, Applications, Information Security, Operations, and relevant vendors.</p> <p>Conduct structured knowledge transfer sessions for the internal IT team.</p> <p>Ensure the cloud environment meets banking-grade requirements for security, availability, resilience, auditability, and operational control.</p> <p>Provide management-level recommendations on migration readiness, key risks, and required corrective actions.</p> <h4>Requirements</h4> <p><strong>Must have:</strong></p> <ul> <li>10+ years of relevant experience in cloud infrastructure, enterprise infrastructure, cloud migration, or production cloud operations.</li> <li>Previous experience in banking or financial services is preferred but not mandatory.</li> <li>Previous experience in regulated environments is an advantage.</li> </ul> <h4>Qualifications</h4> <ul> <li>Senior-level experience with Oracle Cloud Infrastructure.</li> <li>Proven track record in cloud migration, cloud operations, and enterprise production support.</li> <li>Previous experience as a Cloud Consultant, Cloud Lead, Cloud Architect, or equivalent senior role.</li> <li>Deep knowledge of cloud compute, networking, storage, identity and access management, security, monitoring, logging, backup, and disaster recovery.</li> <li>Solid understanding of hybrid cloud environments and enterprise infrastructure operations.</li> <li>Experience supporting production migration, cutover planning, go-live, and hypercare activities.</li> <li>Ability to review technical designs, identify risks, and deliver practical recommendations.</li> <li>Strong troubleshooting, stakeholder management, documentation, and knowledge transfer skills.</li> </ul> <h4>Preferred skills</h4> <ul> <li>Oracle Cloud certification such as OCI Architect Professional, Architect Associate, or Operations Associate.</li> <li>Experience with cloud governance, security hardening, audit requirements, and operational controls.</li> <li>Experience with cost optimization and cloud resource management.</li> <li>Experience supporting business-critical systems on Oracle Cloud Infrastructure.</li> <li>Familiarity with middleware, integration platforms, databases, and core banking environments.</li> <li>Knowledge of change management, incident management, and production support practices.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Provide senior technical guidance for the Oracle Cloud Infrastructure migration.</p> <p>Review the current cloud environment and assess readiness for production migration.</p> <p>Validate the architecture, configuration, networking, compute, storage, security, access management, monitoring, backup, and recovery setup.</p> <p>Identify technical risks, operational gaps, dependencies, and readiness issues prior to go-live.</p> <p>Support migration preparation, cutover planning, production migration activities, and post-migration stabilization.</p> <p>Provide consultation on issues encountered during migration preparation, testing, and readiness activities.</p> <p>Advise the KSA IT team on post-go-live operations including monitoring, incident handling, access administration, backup, recovery, support procedures, and escalation paths.</p> <p>Review cloud resource utilization and recommend cost optimization opportunities.</p> <p>Prepare and review operational runbooks, administration guides, support procedures, and handover documentation.</p> <p>Collaborate with Group Technology, KSA IT, Infrastructure, Applications, Information Security, Operations, and relevant vendors.</p> <p>Conduct structured knowledge transfer sessions for the internal IT team.</p> <p>Ensure the cloud environment meets banking-grade requirements for security, availability, resilience, auditability, and operational control.</p> <p>Provide management-level recommendations on migration readiness, key risks, and required corrective actions.</p> <h4>Requirements</h4> <p><strong>Must have:</strong></p> <ul> <li>10+ years of relevant experience in cloud infrastructure, enterprise infrastructure, cloud migration, or production cloud operations.</li> <li>Previous experience in banking or financial services is preferred but not mandatory.</li> <li>Previous experience in regulated environments is an advantage.</li> </ul> <h4>Qualifications</h4> <ul> <li>Senior-level experience with Oracle Cloud Infrastructure.</li> <li>Proven track record in cloud migration, cloud operations, and enterprise production support.</li> <li>Previous experience as a Cloud Consultant, Cloud Lead, Cloud Architect, or equivalent senior role.</li> <li>Deep knowledge of cloud compute, networking, storage, identity and access management, security, monitoring, logging, backup, and disaster recovery.</li> <li>Solid understanding of hybrid cloud environments and enterprise infrastructure operations.</li> <li>Experience supporting production migration, cutover planning, go-live, and hypercare activities.</li> <li>Ability to review technical designs, identify risks, and deliver practical recommendations.</li> <li>Strong troubleshooting, stakeholder management, documentation, and knowledge transfer skills.</li> </ul> <h4>Preferred skills</h4> <ul> <li>Oracle Cloud certification such as OCI Architect Professional, Architect Associate, or Operations Associate.</li> <li>Experience with cloud governance, security hardening, audit requirements, and operational controls.</li> <li>Experience with cost optimization and cloud resource management.</li> <li>Experience supporting business-critical systems on Oracle Cloud Infrastructure.</li> <li>Familiarity with middleware, integration platforms, databases, and core banking environments.</li> <li>Knowledge of change management, incident management, and production support practices.</li> </ul></p><p></p>

<p>We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that enable data-driven decision-making across the organization. The ideal candidate will have strong backend data engineering expertise and exposure to modern big data and AI- driven ecosystems.</p><p>Responsibilities:</p><ul><li>Design, develop, and optimize scalable data pipelines using Python or Java.</li><li>Build and maintain ETL/ELT frameworks using Apache Spark (Batch &amp; Streaming).</li><li>Write advanced SQL queries for data transformation, validation, and analytics.</li><li>Develop APIs to share data with other services.</li><li>Integrate data from multiple structured and unstructured sources.</li><li>Collaborate with Data Scientists, Analysts, and Product teams to support analytics and ML use cases.</li><li>Implement data validation, logging, and error-handling mechanisms.</li><li>Optimize pipeline performance and manage large-scale datasets.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or related field.</li><li>3+ years of hands-on experience in Data Engineering or Big Data development.</li><li>Strong programming experience in Python and/or Java And Scala.</li><li>Hands-on expertise with Apache Spark (Batch &amp; Streaming).</li><li>Experience with scripting (Python, Bash, Shell).</li><li>API(Python, Java) Development skills.</li><li>Understanding of distributed systems and big data architectures.</li><li>Good knowledge in AWS services(S3, RDS, Redshift, Glue, EMR, Athena, Lambda, etc.).</li><li>Strong experience in data modeling and data warehousing.</li><li>Hands-on experience with batch and streaming data processing, and workflow orchestration tools such as Apache Airflow.</li><li>Experience in API and data integration, with exposure to GenAI integrations (LLMs, LangChain) considered a plus.</li><li>Strong problem-solving and analytical skills and ability to work in a fast paced environment.</li><li>Excellent communication and documentation skills.</li></ul>

<p><h4>About Noema Consulting</h4> <p>Noema stands as a reliable partner, delivering cutting-edge IT solutions and outstanding service to organizations across diverse industries, with a special emphasis on banking. Leveraging deep expertise in digital transformation, data analytics & AI, SAP solutions, and quality assurance & support, Noema empowers clients to streamline processes, make smarter decisions, and drive sustainable business growth at an accelerated pace.</p> <h4>The role</h4> <p>The Senior SAP CDS Consultant supports SAP Analytics Cloud initiatives by designing, developing, and optimizing robust CDS views and data models that enable accurate, efficient, and scalable reporting and analytics. The role involves translating business and technical requirements into high-quality SAP data solutions, ensuring data reliability, performance, and alignment with SAC reporting needs.</p> <p>This position requires strong hands-on expertise in SAP Core Data Services, data modeling, and data management, along with the ability to collaborate closely with business stakeholders, functional teams, and technical teams. It also includes ownership of CDS development activities, performance optimization, data quality, and the delivery of reliable solutions that support data-driven decision-making.</p> <h4>Key responsibilities</h4> <ul> <li>Lead the design, development, and enhancement of SAP CDS views and data models to support SAC reporting and analytics requirements.</li> <li>Collaborate with SAC architects, business analysts, data stewards, and technical teams to translate business needs into efficient CDS-based data models.</li> <li>Optimize CDS views for performance, scalability, and usability in SAC dashboards, stories, and reports.</li> <li>Support data integration activities and ensure data consistency, accuracy, and availability across SAP systems used for SAC initiatives.</li> <li>Provide technical guidance and mentoring to junior developers and other team members involved in data modeling and reporting activities.</li> <li>Perform code reviews, apply best practices, and ensure adherence to SAP development standards.</li> <li>Troubleshoot and resolve complex data-related, performance, and reporting issues in collaboration with cross-functional teams.</li> <li>Document development activities, maintain version control, and ensure alignment with internal governance and quality standards.</li> <li>Stay up to date with SAP technologies, CDS enhancements, and SAC capabilities to continuously improve data management and reporting solutions.</li> </ul> <h4>Requirements</h4> <p><strong>Experience:</strong></p> <ul> <li>5+ years of experience in SAP development with a focus on CDS views and data modeling in SAP S/4HANA environments.</li> <li>Experience optimizing CDS views for analytical performance and complex business use cases.</li> <li>Experience with SAP BW/4HANA or other SAP BI tools is a plus.</li> </ul> <p><strong>Educational background:</strong></p> <ul> <li>Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.</li> <li>Relevant SAP certifications in ABAP or SAC are desirable.</li> </ul> <p><strong>Competencies:</strong></p> <p><strong>Technical excellence:</strong></p> <ul> <li>Strong understanding of SAP Analytics Cloud architecture and data consumption patterns.</li> <li>Proficiency in ABAP programming and CDS development tools, including annotations, associations, and extensions.</li> <li>Knowledge of data management principles, data governance, and ETL processes.</li> </ul> <p><strong>Behavioural/core:</strong></p> <ul> <li>Analytical thinking and problem-solving mindset</li> <li>Excellent communication with business and technical stakeholders</li> <li>Cross-functional collaboration</li> <li>Ownership, accountability, and attention to detail</li> <li>Technical leadership and mentoring ability</li> <li>Continuous learning mindset</li> </ul> <h4>Benefits</h4> <ul> <li>A fully remote work environment.</li> <li>The opportunity to contribute to international projects for global clients.</li> <li>A collaborative, multicultural team setting.</li> <li>The chance to take ownership and make a real impact.</li> <li>Exposure to experienced professionals and high-quality delivery standards.</li> <li>A culture built on collaboration, professionalism, and continuous improvement.</li> </ul></p><p></p>

<p><h4>About Noema Consulting</h4> <p>Noema stands as a reliable partner, delivering cutting-edge IT solutions and outstanding service to organizations across diverse industries, with a special emphasis on banking. Leveraging deep expertise in digital transformation, data analytics & AI, SAP solutions, and quality assurance & support, Noema empowers clients to streamline processes, make smarter decisions, and drive sustainable business growth at an accelerated pace.</p> <h4>The role</h4> <p>The Senior SAP CDS Consultant supports SAP Analytics Cloud initiatives by designing, developing, and optimizing robust CDS views and data models that enable accurate, efficient, and scalable reporting and analytics. The role involves translating business and technical requirements into high-quality SAP data solutions, ensuring data reliability, performance, and alignment with SAC reporting needs.</p> <p>This position requires strong hands-on expertise in SAP Core Data Services, data modeling, and data management, along with the ability to collaborate closely with business stakeholders, functional teams, and technical teams. It also includes ownership of CDS development activities, performance optimization, data quality, and the delivery of reliable solutions that support data-driven decision-making.</p> <h4>Key responsibilities</h4> <ul> <li>Lead the design, development, and enhancement of SAP CDS views and data models to support SAC reporting and analytics requirements.</li> <li>Collaborate with SAC architects, business analysts, data stewards, and technical teams to translate business needs into efficient CDS-based data models.</li> <li>Optimize CDS views for performance, scalability, and usability in SAC dashboards, stories, and reports.</li> <li>Support data integration activities and ensure data consistency, accuracy, and availability across SAP systems used for SAC initiatives.</li> <li>Provide technical guidance and mentoring to junior developers and other team members involved in data modeling and reporting activities.</li> <li>Perform code reviews, apply best practices, and ensure adherence to SAP development standards.</li> <li>Troubleshoot and resolve complex data-related, performance, and reporting issues in collaboration with cross-functional teams.</li> <li>Document development activities, maintain version control, and ensure alignment with internal governance and quality standards.</li> <li>Stay up to date with SAP technologies, CDS enhancements, and SAC capabilities to continuously improve data management and reporting solutions.</li> </ul> <h4>Requirements</h4> <p><strong>Experience:</strong></p> <ul> <li>5+ years of experience in SAP development with a focus on CDS views and data modeling in SAP S/4HANA environments.</li> <li>Experience optimizing CDS views for analytical performance and complex business use cases.</li> <li>Experience with SAP BW/4HANA or other SAP BI tools is a plus.</li> </ul> <p><strong>Educational background:</strong></p> <ul> <li>Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.</li> <li>Relevant SAP certifications in ABAP or SAC are desirable.</li> </ul> <p><strong>Competencies:</strong></p> <p><strong>Technical excellence:</strong></p> <ul> <li>Strong understanding of SAP Analytics Cloud architecture and data consumption patterns.</li> <li>Proficiency in ABAP programming and CDS development tools, including annotations, associations, and extensions.</li> <li>Knowledge of data management principles, data governance, and ETL processes.</li> </ul> <p><strong>Behavioural/core:</strong></p> <ul> <li>Analytical thinking and problem-solving mindset</li> <li>Excellent communication with business and technical stakeholders</li> <li>Cross-functional collaboration</li> <li>Ownership, accountability, and attention to detail</li> <li>Technical leadership and mentoring ability</li> <li>Continuous learning mindset</li> </ul> <h4>Benefits</h4> <ul> <li>A fully remote work environment.</li> <li>The opportunity to contribute to international projects for global clients.</li> <li>A collaborative, multicultural team setting.</li> <li>The chance to take ownership and make a real impact.</li> <li>Exposure to experienced professionals and high-quality delivery standards.</li> <li>A culture built on collaboration, professionalism, and continuous improvement.</li> </ul></p><p></p>

<p><h4>About the role</h4> <p>We are looking for an experienced Salesforce core developer to join our team on a 4-month remote contract. The ideal candidate will have strong hands-on experience in Salesforce development, Lightning Web Components (LWC), and Salesforce integrations. You will work closely with technical and business teams to design, develop, and support scalable Salesforce solutions while ensuring seamless integration with external systems.</p> <h4>Responsibilities</h4> <ul> <li>Develop and maintain custom Salesforce solutions using Apex, Lightning Web Components (LWC), Visualforce, and Salesforce configuration tools.</li> <li>Design and implement scalable business logic and custom Salesforce functionality.</li> <li>Build, enhance, and maintain Salesforce integrations using REST APIs and other integration technologies.</li> <li>Troubleshoot and resolve issues across end-to-end integration flows.</li> <li>Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.</li> <li>Perform code reviews and ensure adherence to Salesforce development best practices.</li> <li>Support testing, deployment, and production releases.</li> <li>Document technical solutions and provide ongoing support throughout the project lifecycle.</li> </ul> <h4>Requirements</h4> <ul> <li>4+ years of hands-on Salesforce development experience.</li> <li>Strong expertise in Salesforce Apex development.</li> <li>Proven experience developing Lightning Web Components (LWC) (mandatory).</li> <li>Solid experience designing and implementing Salesforce integrations using REST APIs.</li> <li>Experience troubleshooting and supporting complex integration flows.</li> <li>Good understanding of Salesforce platform architecture and development best practices.</li> <li>Experience with Git and CI/CD processes is an advantage.</li> <li>Strong problem-solving and communication skills.</li> <li>Ability to work independently in a fully remote environment.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Experience with MuleSoft integrations (highly preferred).</li> <li>Salesforce Platform Developer I or II certification is a plus.</li> <li>Experience working in Agile/Scrum teams.</li> </ul> <h4>Contract details</h4> <p><strong>Employment type:</strong> Contract<br> <strong>Duration:</strong> 4 months<br> <strong>Location:</strong> Remote<br> <strong>Start date:</strong> Immediate or as soon as possible</p></p><p></p>

<p><h4>About the role</h4> <p>We are looking for an experienced Salesforce core developer to join our team on a 4-month remote contract. The ideal candidate will have strong hands-on experience in Salesforce development, Lightning Web Components (LWC), and Salesforce integrations. You will work closely with technical and business teams to design, develop, and support scalable Salesforce solutions while ensuring seamless integration with external systems.</p> <h4>Responsibilities</h4> <ul> <li>Develop and maintain custom Salesforce solutions using Apex, Lightning Web Components (LWC), Visualforce, and Salesforce configuration tools.</li> <li>Design and implement scalable business logic and custom Salesforce functionality.</li> <li>Build, enhance, and maintain Salesforce integrations using REST APIs and other integration technologies.</li> <li>Troubleshoot and resolve issues across end-to-end integration flows.</li> <li>Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.</li> <li>Perform code reviews and ensure adherence to Salesforce development best practices.</li> <li>Support testing, deployment, and production releases.</li> <li>Document technical solutions and provide ongoing support throughout the project lifecycle.</li> </ul> <h4>Requirements</h4> <ul> <li>4+ years of hands-on Salesforce development experience.</li> <li>Strong expertise in Salesforce Apex development.</li> <li>Proven experience developing Lightning Web Components (LWC) (mandatory).</li> <li>Solid experience designing and implementing Salesforce integrations using REST APIs.</li> <li>Experience troubleshooting and supporting complex integration flows.</li> <li>Good understanding of Salesforce platform architecture and development best practices.</li> <li>Experience with Git and CI/CD processes is an advantage.</li> <li>Strong problem-solving and communication skills.</li> <li>Ability to work independently in a fully remote environment.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Experience with MuleSoft integrations (highly preferred).</li> <li>Salesforce Platform Developer I or II certification is a plus.</li> <li>Experience working in Agile/Scrum teams.</li> </ul> <h4>Contract details</h4> <p><strong>Employment type:</strong> Contract<br> <strong>Duration:</strong> 4 months<br> <strong>Location:</strong> Remote<br> <strong>Start date:</strong> Immediate or as soon as possible</p></p><p></p>

<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>

<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>

<p><h4>Description</h4> <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>Key responsibilities</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, labeling, 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, or 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>What we offer</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>

<p><h4>Description</h4> <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>Key responsibilities</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, labeling, 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, or 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>What we offer</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>

<p><strong>REQUEST FOR QUOTATION NOTICE</strong></p> <p>&nbsp;</p> <p>INVITATION TO REQUEST FOR QUOTATION FOR THE PROVISION OF POST-RETURN EXPERIENCE AND REINTEGRATION PATHWAYS: SYRIAN RETURNEES (IDP, JORDAN AND LEBANON REFUGEE RETURNEES) CONSULTANCY SERVICE</p> <p>&nbsp;</p> <p><strong>[RFQ/MENA/26/005]</strong></p> <p>&nbsp;</p> <p>Following the fall of the Assad government in December 2024, the pace of return movements from Jordan and Lebanon has accelerated. While humanitarian actors have invested significantly in tracking intentions to return and return movements, far less is known about what actually happens after return, and almost nothing has been systematically documented about what enables successful, sustainable reintegration as opposed to what causes it to fail. This evidence gap has direct programmatic consequences. INGOs operating in Syria's return areas are making decisions about reception support, livelihood programming, shelter, and community cohesion with limited grounding in the lived experiences of returnees themselves. We lack qualitative evidence that would allow better identification of what works- the conditions, assets, relationships, and support mechanisms that returnees themselves associate with positive reintegration pathways and outcomes1- distinct from cataloguing barriers and protection risks.&nbsp; This research piece would address that gap with an explicit solutions orientation: the primary analytical question is what successful early reintegration looks like and how we can support more of it, rather than what is going wrong for returnees. This study is designed as a pilot, with strong programmatic utility, while generating the evidence base and case for a broader multi-site phase 2, which could be fundraised for. This study is intended to complement rather than duplicate existing quantitative intention surveys including UNHCR's ePRIS and complement work led by the Solutions Working Group inside Syria and the various Durable Solutions coordination architectures that exist at country and regional level. This study is designed as a pilot to provide both a standalone evidence contribution and the foundation for a potential phase 2 study across two to three additional governorates, inclusion of a re-displaced secondary sample (both inside Syria and cross-border movements back to Lebanon), measuring the distinction between rural areas supported with humanitarian programming;&nbsp; and a longitudinal follow-up component</p> <p>&nbsp;</p> <p><strong>Deadline for Bids:</strong></p> <p>Deadline for bid submission is 02.08.2026 - 13:00 PM&nbsp; Amman time.</p> <p>&nbsp;</p> <p>Please submit your bid by uploading all files to the e-tender box (eTB) web site - the link is included in the file</p> <p><em>0_LINK TO UPLOAD BID.pdf</em>, which you downloaded together with this tender package.</p> <p>&nbsp;</p> <p><em>In order to avoid technical problems, please note that you can upload as many files as it is required, but the <u>single file size is limited to 10 MB</u> each, and it is <u>not allowed to upload zip, rar or 7z&nbsp; file</u>. Files with the same file name cannot be uploaded twice.</em></p> <p>&nbsp;</p> <p>After successful bid submission, you will receive an e-mail confirmation from the eTB system, with the list of submitted files. If you notice that some files have not been successfully uploaded (e.g. due to the internet interruption), please submit missing file(s) again and please put MF after the company name (example: ABC company MF).</p> <p>&nbsp;</p> <p>If you need to submit a revised bid before the deadline, the Company name in the eTB system should be modified by adding “2” after the Company&nbsp; name and the latest submission will be considered as the final bid. (Example: ABC company 2)</p> <p>&nbsp;</p> <p>If you have any technical questions please use the link available also in downloaded file <em>0_LINK TO UPLOAD BID.pdf</em>&nbsp; before 26.07.2026. After submitting your question, you will receive an e-mail confirmation from eTB system.</p> <p>&nbsp;</p> <p>If you do not receive confirmation e-mails, or in case of technical problems, please contact <a href="mailto:jo.contact@nrc.no">jo.contact@nrc.no</a></p> <p>&nbsp;</p> <p><strong>Complete RFQ documents can be obtained, free of charge from 19 July 2026 until 02 August 2026, 12:00 pm (Amman Time) , by accessing the following link:</strong></p> <p>&nbsp;</p> <p><a href="https://etbsystem.no/ClientTrans/Download?ID=DhUoFCVJ3y0%3d"><strong>https://etbsystem.no/ClientTrans/Download?ID=DhUoFCVJ3y0%3d</strong></a></p> <p>If you do not receive an e-mail, or in case of technical problems, please contact <a href="mailto:jo.contact@nrc.no">jo.contact@nrc.no</a>&nbsp; with email subject as: (RFQ/MENA/26/005) – Technical Enquiry</p> <p>Regards,</p> <p>NRC Procurement Unit</p> <p>&nbsp;</p>

<p>Contract Duration 12 months Working arrangement: Remote UNICEF works in over 190 countries and territories to save children s lives, defend their rights, and help them fulfill their potential, from early childhood through adolescence. At UNICEF, we are committed, passionate, and proud of what we do for as long as we are needed. Promoting the rights of every child is not just a job it is a calling. UNICEF is a place where careers are built. We offer our staff diverse opportunities for professional and personal development that will help them reinforce a sense of purpose while serving children and communities across the world. We welcome everyone who wants to belong and grow in a diverse and passionate culture, coupled with an attractive compensation and benefits package. Visit our website to learn more about what we do at UNICEF. TERMS OF REFERENCE Under the supervision of the Senior Advisor, Education in Emergencies (EiE), and in close collaboration with the Foundational Learning team, the Consultant (Foundational Learning in Humanitarian Settings) will provide specialized technical expertise to strengthen UNICEF s global work on foundational learning in humanitarian and crisis-affected contexts. If you would like to know more about this consultancy, please review the complete Terms of Reference here: TMCPHONE_NUMBER External ToR.pdf</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Advanced university degree (Masters) in Education, International Development, Social Sciences, or a related field.</li><li>Minimum of 10 years of progressively responsible experience in education sector planning, policy development, systems strengthening, and Education in Emergencies (EiE) or humanitarian programming.</li><li>Proven experience integrating risk-informed, crisis sensitive, and resilience-focused approaches into education planning and policy processes.</li><li>Minimum of 10 years of progressively responsible professional experience in foundational learning, basic education, education in emergencies (EiE), humanitarian programming, learning assessment, education systems strengthening.</li><li>Demonstrated experience designing, implementing, advising on, or evaluating foundational learning programmes in humanitarian, crisis-affected, fragile, displacement, and/or protracted emergency settings.</li><li>Proven expertise in developing technical guidance, operational frameworks, tools, standards, and programmatic approaches related to foundational learning, literacy, numeracy, remedial education, accelerated learning, learning recovery, or continuity of learning, teacher qualifications and training in humanitarian settings.</li><li>Strong experience generating, synthesizing, and translating evidence, operational learning, research findings, and promising practices into actionable recommendations, guidance, and knowledge products for practitioners and policymakers.</li><li>Experience supporting UNICEF, governments, UN agencies, NGOs, development partners, or donors in the design, implementation, and quality assurance of education and learning programmes in emergency and resilience contexts.</li><li>Demonstrated experience working across multiple thematic areas relevant to foundational learning, including learning assessment, teacher development and support, gender-responsive education, inclusive education, digital learning, data and evidence systems, and learning continuity.</li><li>Experience facilitating technical exchanges, communities of practice, learning events, workshops, and multi-stakeholder consultations involving governments, country offices, regional offices, and development partners.</li><li>Experience working in low- and middle-income countries, including fragile, conflict-affected, displacement, and crisis-affected contexts.</li><li>Familiarity with global education architecture and humanitarian coordination mechanisms, including UNICEF, INEE, ECW, GPE, Education Clusters, refugee education responses, and related global initiatives, is highly desirable.</li><li>Strong technical expertise in foundational learning, learning recovery, literacy and numeracy acquisition, education quality, and education in emergencies programming.</li><li>Excellent understanding of the challenges and opportunities associated with delivering foundational learning in humanitarian, displacement, conflict-affected, and protracted crisis settings.</li><li>Knowledge of evidence-based approaches related to pedagogy, teaching and learning materials, teacher professional development, formative and summative assessment, learning measurement, and data use for improving learning outcomes.</li><li>Strong analytical and research skills, with demonstrated ability to synthesize complex evidence and operational learning into concise and actionable guidance.</li><li>Proven ability to develop high-quality technical guidance, frameworks, operational tools, reports, learning briefs, case studies, presentations, and knowledge products.</li><li>Strong understanding of inclusive, gender responsive, and equity-focused approaches to foundational learning and education programming.</li><li>Knowledge of digital learning approaches, learning continuity strategies, and innovative modalities for delivering education in crisis contexts is an asset.</li><li>Excellent facilitation, coordination, stakeholder engagement, and communication skills, with the ability to work effectively across multidisciplinary teams and global networks.</li><li>Ability to translate complex technical concepts into practical recommendations for country offices, governments, implementing partners, and development partners.</li><li>Fluency in English is required.</li><li>Knowledge of French, Spanish, and/or Arabic is highly desirable.</li><li>Excellent drafting, presentation, and communication skills in English are required, including the ability to produce high-quality technical and knowledge products for diverse audiences.</li></ul>

<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>

<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>

<p><h4>Job description</h4> <p>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a telecom data lakehouse/data warehouse. The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.</p> <h4>Key responsibilities</h4> <ul> <li>Gather and analyze business requirements from stakeholders across telecom domains such as customer, billing, CRM, network, revenue assurance, finance, sales, marketing, and digital channels.</li> <li>Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.</li> <li>Document business processes, functional requirements, and business rules.</li> <li>Capture business requirements into functional specifications for data engineers, data modelers, ETL developers, and BI developers.</li> <li>Define source-to-target mapping requirements and validate data transformations.</li> <li>Collaborate with solution architects and data modelers to ensure business requirements are accurately reflected in the data lakehouse/data warehouse design.</li> <li>Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.</li> <li>Support the definition of data quality rules, validation criteria, and reconciliation requirements.</li> <li>Review ETL mapping documents and ensure business logic is correctly implemented.</li> <li>Work closely with data engineers during development to clarify business rules and resolve functional issues.</li> <li>Participate in user acceptance testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.</li> <li>Maintain business glossaries, metadata, and documentation.</li> <li>Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.</li> <li>Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.</li> </ul> <h4>Requirements</h4> <ul> <li>Strong business analysis and requirement elicitation skills.</li> <li>Excellent stakeholder management and communication skills.</li> <li>Experience documenting business requirements and functional specifications.</li> <li>Strong analytical and problem-solving skills.</li> <li>Understanding of relational databases and SQL.</li> <li>Basic knowledge of data warehousing concepts such as:</li> <ul> <li>Facts and dimensions</li> <li>Star schema</li> <li>Snowflake schema</li> <li>Slowly changing dimensions (SCD)</li> <li>Data lineage</li> <li>Metadata management</li> <li>Data quality</li> </ul> <li>Experience working in Agile/Scrum environments.</li> </ul> <h4>Preferred technical knowledge</h4> <ul> <li>SQL</li> <li>Data warehouse / data lakehouse architecture</li> <li>ETL concepts and data integration</li> <li>Data mapping documentation</li> <li>Data quality frameworks</li> <li>BI and reporting platforms</li> <li>Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.</li> </ul> <h4>Deliverables</h4> <ul> <li>Business requirement documents (BRD)</li> <li>Functional requirement specifications (FRS)</li> <li>KPI definitions</li> <li>Data dictionary</li> <li>Business glossary</li> <li>Data validation and UAT test cases</li> </ul> <h4>Qualifications</h4> <ul> <li>Bachelor's degree in information technology, computer science, business information systems, engineering, or a related field.</li> <li>2–4 years of experience as a Business Analyst in data warehouse, data lakehouse, or business intelligence projects.</li> <li>Experience in the telecommunications industry is highly preferred.</li> </ul></p><p></p>

<p><h4>Job description</h4> <p>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a telecom data lakehouse/data warehouse. The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.</p> <h4>Key responsibilities</h4> <ul> <li>Gather and analyze business requirements from stakeholders across telecom domains such as customer, billing, CRM, network, revenue assurance, finance, sales, marketing, and digital channels.</li> <li>Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.</li> <li>Document business processes, functional requirements, and business rules.</li> <li>Capture business requirements into functional specifications for data engineers, data modelers, ETL developers, and BI developers.</li> <li>Define source-to-target mapping requirements and validate data transformations.</li> <li>Collaborate with solution architects and data modelers to ensure business requirements are accurately reflected in the data lakehouse/data warehouse design.</li> <li>Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.</li> <li>Support the definition of data quality rules, validation criteria, and reconciliation requirements.</li> <li>Review ETL mapping documents and ensure business logic is correctly implemented.</li> <li>Work closely with data engineers during development to clarify business rules and resolve functional issues.</li> <li>Participate in user acceptance testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.</li> <li>Maintain business glossaries, metadata, and documentation.</li> <li>Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.</li> <li>Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.</li> </ul> <h4>Requirements</h4> <ul> <li>Strong business analysis and requirement elicitation skills.</li> <li>Excellent stakeholder management and communication skills.</li> <li>Experience documenting business requirements and functional specifications.</li> <li>Strong analytical and problem-solving skills.</li> <li>Understanding of relational databases and SQL.</li> <li>Basic knowledge of data warehousing concepts such as:</li> <ul> <li>Facts and dimensions</li> <li>Star schema</li> <li>Snowflake schema</li> <li>Slowly changing dimensions (SCD)</li> <li>Data lineage</li> <li>Metadata management</li> <li>Data quality</li> </ul> <li>Experience working in Agile/Scrum environments.</li> </ul> <h4>Preferred technical knowledge</h4> <ul> <li>SQL</li> <li>Data warehouse / data lakehouse architecture</li> <li>ETL concepts and data integration</li> <li>Data mapping documentation</li> <li>Data quality frameworks</li> <li>BI and reporting platforms</li> <li>Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.</li> </ul> <h4>Deliverables</h4> <ul> <li>Business requirement documents (BRD)</li> <li>Functional requirement specifications (FRS)</li> <li>KPI definitions</li> <li>Data dictionary</li> <li>Business glossary</li> <li>Data validation and UAT test cases</li> </ul> <h4>Qualifications</h4> <ul> <li>Bachelor's degree in information technology, computer science, business information systems, engineering, or a related field.</li> <li>2–4 years of experience as a Business Analyst in data warehouse, data lakehouse, or business intelligence projects.</li> <li>Experience in the telecommunications industry is highly preferred.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a Telecom Data Lakehouse/Data Warehouse.<br> The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.<br> Key Responsibilities Gather and analyze business requirements from stakeholders across telecom domains such as Customer, Billing, CRM, Network, Revenue Assurance, Finance, Sales, Marketing, and Digital Channels.<br> Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.<br> Document business processes, functional requirements, and business rules.<br> Capture business requirements into functional specifications for Data Engineers, Data Modelers, ETL Developers, and BI Developers.<br> Define source-to-target mapping requirements and validate data transformations.<br> Collaborate with Solution Architects and Data Modelers to ensure business requirements are accurately reflected in the Data Lakehouse/Data Warehouse design.<br> Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.<br> Support the definition of data quality rules, validation criteria, and reconciliation requirements.<br> Review ETL mapping documents and ensure business logic is correctly implemented.<br> Work closely with Data Engineers during development to clarify business rules and resolve functional issues.<br> Participate in User Acceptance Testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.<br> Maintain business glossaries, metadata, and documentation.<br> Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.<br> Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.<br> Strong business analysis and requirement elicitation skills.<br> Excellent stakeholder management and communication skills.<br> Experience documenting business requirements and functional specifications.<br> Strong analytical and problem-solving skills.<br> Understanding of relational databases and SQL.<br> Basic knowledge of data warehousing concepts such as: Facts and Dimensions Star Schema Snowflake Schema Slowly Changing Dimensions (SCD) Data Lineage Metadata Management Data Quality Experience working in Agile/Scrum environments.<br> Preferred Technical Knowledge SQL Data Warehouse / Data Lakehouse architecture ETL concepts and data integration Data Mapping documentation Data Quality frameworks BI and Reporting platforms Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.<br> Deliverables Business Requirement Documents (BRD) Functional Requirement Specifications (FRS) KPI Definitions Data Dictionary Business Glossary Data Validation and UAT Test Cases Qualifications Bachelor's degree in Information Technology, Computer Science, Business Information Systems, Engineering, or a related field.<br> 2–4 years of experience as a Business Analyst in Data Warehouse, Data Lakehouse, or Business Intelligence projects.<br> Experience in the telecommunications industry is highly preferred.<br></span> </div>