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<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>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p> <h4>Responsibilities:</h4> <ul> <li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li> <li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li> <li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li> <li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li> <li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li> <li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li> <li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li> <li>Incorporate core data management competencies, including data governance, data security and data quality</li> <li>Develop, implement, and maintain change control and testing processes for modifications to data models</li> <li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li> <li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li> <li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li> <li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li> <li>Hands-on relational, dimensional, and analytical project experience</li> <li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li> </ul> <h4>Skills:</h4> <p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p> <p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p> <p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p> <p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p> <h4>Responsibilities:</h4> <ul> <li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li> <li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li> <li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li> <li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li> <li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li> <li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li> <li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li> <li>Incorporate core data management competencies, including data governance, data security and data quality</li> <li>Develop, implement, and maintain change control and testing processes for modifications to data models</li> <li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li> <li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li> <li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li> <li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li> <li>Hands-on relational, dimensional, and analytical project experience</li> <li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li> </ul> <h4>Skills:</h4> <p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p> <p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p> <p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p> <p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><br> <b>About the Job </b> <br> <p > At Aspire, we're looking for a passionate and experienced <span>Data Engineer <span> <span> to join our growing technology team. In this role, you'll design, build, and optimize scalable data platforms that power analytics, reporting, and business-critical decision-making. You'll collaborate with cross-functional teams to develop reliable, high-performance data solutions while leveraging modern cloud technologies and data engineering best practices. <span> <br> <span> <span>What You'll Do <span> <span> <br> </span></span></span></span></span></span></span></span></p><ul > <li > <p> <span> <span>Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Build and optimize batch and real-time data processing workflows. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Design and implement robust data models, data warehouses, and data lakes. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Integrate data from multiple sources, including APIs, databases, cloud services, and third-party applications. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Ensure data quality, consistency, integrity, and security across the organization's data platforms. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Optimize the performance of data pipelines, SQL queries, and large-scale data processing systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Collaborate with Analytics, Business Intelligence, and Data Science teams to deliver trusted datasets for reporting and insights. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Work closely with Software Engineering and DevOps teams to build reliable and scalable data infrastructure. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Implement monitoring, logging, and alerting to ensure data pipeline reliability and operational excellence. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Participate in designing and evolving the organization's data architecture and engineering standards. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Mentor junior data engineers by sharing technical knowledge and promoting engineering best practices. <span> <br> </span></span></span></p></li><li > <p > Document data flows, architecture, and technical implementations to support knowledge sharing and maintainability. <span > <br> <span> <span>What You'll Need <span> <span> <br> </span></span></span></span></span></p><ul > <li > <p > Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. <br> </p></li><li > <p> <span> <span>5+ years of experience in Data Engineering or a similar role. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong expertise in SQL and relational databases such as Oracle, PostgreSQL, SQL Server, and MySQL. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Hands-on experience with Apache Airflow, Apache Kafka, Apache Spark, or similar data engineering technologies. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong programming skills in Python, Java, or Scala. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience with cloud data warehouse solutions such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong understanding of ETL/ELT processes, data modeling, and data integration best practices. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience working with large-scale distributed data systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience using Git or other version control systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong analytical, problem-solving, and communication skills. <br> </span></span></p></li><li > <p> <span> <span>Experience with real-time streaming technologies such as Kafka, Flink, or Spark Streaming is a plus <span> <br> </span></span></span></p></li><li > <p> <span> <span>Knowledge of modern data lake platforms, including Delta Lake and Databricks is a plus <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience with Docker and Kubernetes <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Familiarity with BI and visualization tools such as Power BI, Tableau, or Looker <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Experience implementing CI/CD pipelines for data engineering workflows <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Understanding of data governance, security, privacy, and compliance practices <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p > <span> <span>Experience working in Agile or Scrum environments.<br> </span></span></p><div ><br></div></li></ul></li></ul></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p><p>Responsibilities:</p><ul><li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li><li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li><li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li><li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li><li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li><li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li><li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li><li>Incorporate core data management competencies, including data governance, data security and data quality</li><li>Develop, implement, and maintain change control and testing processes for modifications to data models.</li><li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field. At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</p><p>Skills:</p><p>Soft Skills: Communication and Stakeholder Engagement Facilitation Creative thinking Problem solving Collaboration and teamwork Relationship management Storytelling Influencing Presentation Excellent English language verbal and written communication.</p><p>Data &amp; Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies Strong technical documentation Visualization skills Data management Data architecture AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding Strategic Data Management Regulatory Compliance Change management</p><p>Other skills : Project management capabilities Business case development Programming languages like SQL, Python, R Analytics and business intelligence tools like Microsoft Power BI Data modelling Version control</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making.<br> This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization.<br> This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.<br> Responsibilities: Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions Create data flow diagrams, dimensional models (e.<br>g., star schema), and other visual representations to support analytics and reporting Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts Conduct performance tuning and optimization of data models for efficient data access and retrieval Incorporate core data management competencies, including data governance, data security and data quality Develop, implement, and maintain change control and testing processes for modifications to data models.<br> Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms Bachelor’s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field.<br> At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications Skills: Soft Skills: Communication and Stakeholder Engagement • Facilitation • Creative thinking • Problem solving • Collaboration and teamwork • Relationship management • Storytelling • Influencing • Presentation • Excellent English language verbal and written communication.<br> Data &amp; Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies • Strong technical documentation • Visualization skills • Data management • Data architecture • AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding • Strategic Data Management • Regulatory Compliance • Change management Other skills : Project management capabilities • Business case development • Programming languages like SQL, Python, R • Analytics and business intelligence tools like Microsoft Power BI • Data modelling • Version control</span> </div>

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

<p><h4>Description</h4> <p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p> <p>If yes, then this is the job you're looking for. UXBERT Labs is one of the leading digital and user experience design agencies in the GCC, working with top regional and international brands such as STC, Amazon, Gucci, and more. As part of the Supertech Group—which also includes Hala Yalla, Saudi's number one private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA—we are continuously expanding our innovation footprint.</p> <h4>Responsibilities:</h4> <ul> <li><strong>CI/CD & Automation:</strong> Design, implement, and manage robust CI/CD pipelines for Node.js and React applications using GitHub Actions and Bitbucket Pipelines across development, staging, and production environments.</li> <li><strong>Infrastructure as Code (IaC):</strong> Maintain and scale cloud infrastructure using Terraform or CloudFormation.</li> <li><strong>Containerization & Orchestration:</strong> Containerize applications using Docker and orchestrate using Kubernetes (optional). Excellent experience working on Kubernetes clusters such as GKE or AKS is a plus.</li> <li><strong>Monitoring & Observability:</strong> Monitor system health, security, and performance. Solid experience with New Relic, Datadog, and APM, including setting up APM cadence, alerts, and rules and policies for support and disaster management.</li> <li><strong>Cloud & Networking:</strong> Excellent experience with cloud-based VPC and networking within load balancing and orchestration.</li> <li><strong>Future-Proofing:</strong> Ability to learn fast and understand emerging technologies such as large language models, complex CI/CD setups in the future, including AI machine learning and AI coding.</li> </ul> <h4>Requirements</h4> <ul> <li><strong>Development & Infrastructure:</strong> Strong skills in quickly setting up servers in Node.js, whitelisting IPs, and providing Docker and secure environments for developers, production, and testers.</li> <li><strong>Coding Background:</strong> Seven or more years of DevOps experience across cloud platforms. An engineering background in PHP or a strong programming background is beneficial; solid JavaScript or Python skills are a must.</li> <li><strong>Cloud & Caching Expertise:</strong> Proficiency with both GCP and AWS is required. Must have solid experience with CDNs, CloudFlare, and configuration of complex caching in Redis and more. GCP certification is highly advantageous as Saudi Arabia prefers to work with GCP.</li> <li><strong>Database & Scaling:</strong> Understanding of database setup, high scaling, and high traffic sites both with and without CloudFlare. Experience with complex database optimization, data flow diagrams, and migration.</li> <li><strong>Modern Workflows:</strong> Experience with Vercel for front-end deployment workflows.</li> <li><strong>Environment Familiarity:</strong> Familiarity with Node.js environments, Linux, and monitoring tools.</li> <li><strong>AI Integration:</strong> Engineers must incorporate AI-assisted coding tools such as Claude, Grok, or ChatGPT as part of their daily work.</li> </ul> <h4>Benefits</h4> <ul> <li>Fully remote role (must align with Saudi Arabia working hours).</li> <li>Opportunity to work on high-impact Saudi government and enterprise projects.</li> <li>Collaborative culture with strong design and engineering teams.</li> <li>Competitive salary.</li> <li>Professional development budget for certifications and training.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p> <p>If yes, then this is the job you're looking for. UXBERT Labs is one of the leading digital and user experience design agencies in the GCC, working with top regional and international brands such as STC, Amazon, Gucci, and more. As part of the Supertech Group—which also includes Hala Yalla, Saudi's number one private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA—we are continuously expanding our innovation footprint.</p> <h4>Responsibilities:</h4> <ul> <li><strong>CI/CD & Automation:</strong> Design, implement, and manage robust CI/CD pipelines for Node.js and React applications using GitHub Actions and Bitbucket Pipelines across development, staging, and production environments.</li> <li><strong>Infrastructure as Code (IaC):</strong> Maintain and scale cloud infrastructure using Terraform or CloudFormation.</li> <li><strong>Containerization & Orchestration:</strong> Containerize applications using Docker and orchestrate using Kubernetes (optional). Excellent experience working on Kubernetes clusters such as GKE or AKS is a plus.</li> <li><strong>Monitoring & Observability:</strong> Monitor system health, security, and performance. Solid experience with New Relic, Datadog, and APM, including setting up APM cadence, alerts, and rules and policies for support and disaster management.</li> <li><strong>Cloud & Networking:</strong> Excellent experience with cloud-based VPC and networking within load balancing and orchestration.</li> <li><strong>Future-Proofing:</strong> Ability to learn fast and understand emerging technologies such as large language models, complex CI/CD setups in the future, including AI machine learning and AI coding.</li> </ul> <h4>Requirements</h4> <ul> <li><strong>Development & Infrastructure:</strong> Strong skills in quickly setting up servers in Node.js, whitelisting IPs, and providing Docker and secure environments for developers, production, and testers.</li> <li><strong>Coding Background:</strong> Seven or more years of DevOps experience across cloud platforms. An engineering background in PHP or a strong programming background is beneficial; solid JavaScript or Python skills are a must.</li> <li><strong>Cloud & Caching Expertise:</strong> Proficiency with both GCP and AWS is required. Must have solid experience with CDNs, CloudFlare, and configuration of complex caching in Redis and more. GCP certification is highly advantageous as Saudi Arabia prefers to work with GCP.</li> <li><strong>Database & Scaling:</strong> Understanding of database setup, high scaling, and high traffic sites both with and without CloudFlare. Experience with complex database optimization, data flow diagrams, and migration.</li> <li><strong>Modern Workflows:</strong> Experience with Vercel for front-end deployment workflows.</li> <li><strong>Environment Familiarity:</strong> Familiarity with Node.js environments, Linux, and monitoring tools.</li> <li><strong>AI Integration:</strong> Engineers must incorporate AI-assisted coding tools such as Claude, Grok, or ChatGPT as part of their daily work.</li> </ul> <h4>Benefits</h4> <ul> <li>Fully remote role (must align with Saudi Arabia working hours).</li> <li>Opportunity to work on high-impact Saudi government and enterprise projects.</li> <li>Collaborative culture with strong design and engineering teams.</li> <li>Competitive salary.</li> <li>Professional development budget for certifications and training.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We’re looking for a hands-on AI Automation Engineer to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.</p> <p>You’ll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.</p> <p>This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.</p> <ul> <li>Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools</li> <li>Build AI agents that automate customer service, operations, sales, reporting, and internal business processes</li> <li>Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications</li> <li>Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data</li> <li>Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks</li> <li>Develop AI-powered assistants, chatbots, and internal copilots for business users</li> <li>Build automated reporting, monitoring, and business intelligence workflows</li> <li>Conduct workflow discovery sessions and identify automation opportunities across departments</li> <li>Create technical documentation, architecture diagrams, and deployment guidelines</li> <li>Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability</li> <li>Collaborate with designers, strategists, and developers to deliver AI-powered business solutions</li> </ul> <h4>Requirements</h4> <ul> <li>Have 3+ years of experience building workflow automation, integrations, or digital business systems</li> <li>Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms</li> <li>Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies</li> <li>Understand prompt engineering, AI orchestration, and agent-based systems</li> <li>Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations</li> <li>Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools</li> <li>Have experience working with structured and unstructured data</li> <li>Have basic programming knowledge in JavaScript, Python, or TypeScript</li> <li>Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks</li> <li>Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems</li> <li>Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies</li> <li>Have built customer service, sales, HR, finance, or operations AI agents</li> <li>Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications</li> <li>Think in systems and enjoy simplifying complex business processes</li> <li>Communicate clearly and take ownership of delivery</li> <li>Have strong troubleshooting and problem-solving skills</li> <li>Are comfortable working directly with clients and stakeholders</li> <li>Can deliver production-ready AI and automation solutions that create measurable operational efficiencies</li> <li>Have a track record of reducing manual processes through intelligent automation</li> <li>Can design scalable automation frameworks that can be reused across multiple projects and clients</li> <li>Continuously identify opportunities to introduce AI and automation into business operations</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We’re looking for a hands-on AI Automation Engineer to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.</p> <p>You’ll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.</p> <p>This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.</p> <ul> <li>Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools</li> <li>Build AI agents that automate customer service, operations, sales, reporting, and internal business processes</li> <li>Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications</li> <li>Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data</li> <li>Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks</li> <li>Develop AI-powered assistants, chatbots, and internal copilots for business users</li> <li>Build automated reporting, monitoring, and business intelligence workflows</li> <li>Conduct workflow discovery sessions and identify automation opportunities across departments</li> <li>Create technical documentation, architecture diagrams, and deployment guidelines</li> <li>Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability</li> <li>Collaborate with designers, strategists, and developers to deliver AI-powered business solutions</li> </ul> <h4>Requirements</h4> <ul> <li>Have 3+ years of experience building workflow automation, integrations, or digital business systems</li> <li>Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms</li> <li>Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies</li> <li>Understand prompt engineering, AI orchestration, and agent-based systems</li> <li>Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations</li> <li>Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools</li> <li>Have experience working with structured and unstructured data</li> <li>Have basic programming knowledge in JavaScript, Python, or TypeScript</li> <li>Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks</li> <li>Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems</li> <li>Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies</li> <li>Have built customer service, sales, HR, finance, or operations AI agents</li> <li>Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications</li> <li>Think in systems and enjoy simplifying complex business processes</li> <li>Communicate clearly and take ownership of delivery</li> <li>Have strong troubleshooting and problem-solving skills</li> <li>Are comfortable working directly with clients and stakeholders</li> <li>Can deliver production-ready AI and automation solutions that create measurable operational efficiencies</li> <li>Have a track record of reducing manual processes through intelligent automation</li> <li>Can design scalable automation frameworks that can be reused across multiple projects and clients</li> <li>Continuously identify opportunities to introduce AI and automation into business operations</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>At Syarah, we are building the future of automotive e-commerce in the region, and data sits at the core of every decision we make. We are looking for a Data Lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.</p> <p>This is a hands-on leadership role where you will architect scalable data systems, lead a high-performing team, and act as the analytical voice of the business—proactively identifying insights, risks, and opportunities that drive growth across our e-commerce and payments platforms.</p> <p>You will design and govern Syarah’s end-to-end data platform on GCP, unify data from product, payments, ERP, and operations, and ensure all business decisions are powered by accurate, real-time, and trusted data.</p> <p>You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.</p> <h4>Key Responsibilities</h4> <ul> <li>Lead and mentor a cross-functional data team (engineering, analytics, data science)</li> <li>Architect and manage Syarah’s data platform on GCP (BigQuery, Cloud Run, Dataform)</li> <li>Design scalable ETL pipelines and unified star schema data models</li> <li>Integrate ERPNext and other operational systems into centralized data architecture</li> <li>Build and deploy containerized services using Docker on Cloud Run</li> <li>Develop and maintain Flask REST APIs for secure data sharing</li> <li>Own data DevOps, including CI/CD pipelines and infrastructure management</li> <li>Orchestrate workflows using Apache Airflow</li> <li>Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake</li> <li>Ensure reliable event tracking, identity resolution, and funnel analytics across platforms</li> <li>Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking</li> <li>Deliver proactive insights: identify trends, anomalies, and risks before they are requested</li> <li>Translate data into executive-level business decisions and recommendations</li> <li>Define KPI frameworks and build trusted data products for finance, operations, and product teams</li> <li>Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards</li> <li>Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation</li> </ul> <h4>Requirements</h4> <ul> <li>7+ years of experience in data engineering, analytics, or data platform roles</li> <li>Proven experience in a data leadership or senior technical role</li> <li>Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform)</li> <li>Advanced proficiency in Python and SQL</li> <li>Solid experience building and scaling data pipelines and ETL architectures</li> <li>Experience with API development (Flask or similar frameworks)</li> <li>Hands-on experience with Airflow or other workflow orchestration tools</li> <li>Strong knowledge of product analytics and mobile attribution tools (e.g., Mixpanel, Adjust)</li> <li>Experience working with ERP systems (ERPNext or similar) is a plus</li> <li>Strong understanding of data modeling, KPI frameworks, and business intelligence</li> <li>Experience in building or leading data teams</li> <li>Strong business acumen with ability to translate data into actionable insights</li> <li>Experience with CI/CD, Docker, and cloud infrastructure management</li> <li>Exposure to AI/ML tools or LLM-based automation is a strong plus</li> <li>Excellent communication skills and ability to work closely with executive leadership</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About Us:</strong></p><br><p>Trusted and loved by 25 million educators, students, and families worldwide, Seesaw is the only elementary learning platform, offering a suite of award-winning tools, resources, and curriculum for teachers to deliver joyful, inclusive instruction.&amp;nbsp; Through interactive lessons, digital portfolios, and family communication features, Seesaw keeps everyone in the learning loop by providing continuous visibility into the student's learning experience to support and celebrate their learning.</p><br><p><strong>Our Mission:</strong></p><br><p>Seesaw’s mission is to provide every elementary student with joyful and connected learning experiences that lay the foundation for success in life.</p><br><p><strong>The Role:</strong></p><br><p>Seesaw is seeking a technically elite Director of Engineering based in Amman, Jordan, to lead and scale our regional engineering hub. You will be responsible for growing this organization, leveling up its architecture, and continuing to deliver on a roadmap benefiting millions of teachers and students.</p><br><p>This role requires a rare blend of 'in-the-trenches' technical depth and the collaborative DNA required to iterate quickly with global stakeholders. You are the critical bridge between our Jordan-based talent and US-based leadership, ensuring our platforms and products serve millions of customers with excellence.</p><br><p><strong>Key Responsibilities</strong></p><br><ul><li>Strategic Cross-Functional Partnership: Act as the primary technical partner to Product, UX, and Sales teams. Translate customer-facing initiatives into technical reality, iterating rapidly to meet the needs of the MENA education market.</li><li>Scaling &amp;amp; Mentorship: Lead, recruit, and retain a top-tier team in Amman; transition the org from a flat structure to a tiered leadership model as we grow from 15 to 30+ headcount.</li><li>Modernization &amp;amp; DevOps Excellence: Lead the strategic evolution of our existing tech stack. You will migrate legacy components toward high-efficiency, modern architectures while ensuring high-confidence, continuous deployments. You will drive AI adoption across the software development lifecycle.</li><li>Technical Stewardship: Provide architectural oversight across PHP, Python, and React environments, ensuring best-in-class code quality, AWS infrastructure reliability, and data-driven insights for internal and external customers.</li><li>Global Integration: Drive seamless collaboration across regions with a Monday – Thursday overlap with the US East Coast, ensuring the Amman team is a critical contributor to Seesaw’s global product roadmap.</li></ul><p><strong>Requirements</strong></p><br><ul><li>Linguistic Fluency: Professional-level fluency in both Arabic and English (written and verbal).</li><li>Modernization Expertise: Proven track record of modernizing legacy codebases and evolving tech stacks in a live production environment.</li><li>Collaboration Mastery: Exceptional ability to work effectively across departments and time zones, with a record of success on cross-functional initiatives.</li><li>Engineering Depth: Significant experience in full-stack development (PHP, Python, React) AWS, and automated testing.</li><li>Growth Leadership: Experience managing teams of 15+ and a clear vision for how to scale an engineering culture to 30+ and beyond.</li><li>Flexible Schedule: Ability to maintain a consistent 4-hour daily overlap (Mon–Thu) with US East Coast business hours.</li></ul><p><strong>Nice to Have</strong></p><br><ul><li>Prior experience in EdTech, SaaS, or B2G (Business-to-Government).</li><li>Prior experience shipping AI features and experiences to customers.</li><li>Deep roots in the Amman tech ecosystem and local talent networks.</li></ul><p>Our company participates in E-Verify.</p><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>POSITION PROFILE U</b>nder the supervision of IMPACT s Research Manager, the Senior Information Management Officer (SIMO) will lead on the aggregation of service and infrastructure mapping from response partners across the Gaza Strip. In coordination with Acted, UNDP and UN Habitat, the SIMO will be responsible for identifying valuable service and infrastructure data from local, national and international actors as well as UN Agencies in order to provide a comprehensive overview of ongoing humanitarian programming across the Strip. This role offers a unique opportunity to directly contribute to the response s effectiveness by supporting evidence-based planning and coordination. The IMO is expected to engage independently with partners and be confident articulating objectives to a range of audiences. The position requires strong technical skills in data management and analysis, excellent coordination and communication abilities, and a flexible, solutions-oriented mindset. An <b>interest </b>in humanitarian coordination and contextual developments in oPt is strongly preferred.</p><p>&nbsp; <b>RESPONSIBILITIES </b>The Senior Information Management Officer s responsibilities include: Co-ordination and planning • Engage clusters, INGOs, NNGOs and CSOs to generate support and buy in for the service and infrastructure mapping • Generate an understanding of the information landscape within oPt actors, identifying which organisation or cluster has data on which services and infrastructure • Engage other coordinating bodies such as OCHA and act as IMPACT focal point across early recovering information management discussions • Promote the use of inter-operable technologies among partners; • Provide information outputs in the local language wherever feasible. • Receive data from partner organisations Data quality control • Generate sectoral specific data quality standards, working with information management officers in partner organisations to understand sector specific data quality requirements and document them • Generate data quality scripts to assess incoming data for quality issues • Generate shared data standards, including naming, data formatting and data taxonomies (for the standard naming of e.g. health care facility types across organizations) • Generate data quality key performance indicators • Work with partner organisations to address issues with the data they have provided • Promote data quality standards across partner organisations and build a culture of data integrity and accuracy within the response. Data visualization • Visualise the GIS and structured data shared by partners in a dashboard (using common data visualsation tools, e.g. R Shiny or PowerBI) • Ensure coherent style and design across the dashboard • Facilitate analysis through the dashboard user interface • Collaborate with UN Habitat, Acted and UNDP to ensure data visualisations align to their needs The Information Management Officer will maintain the strictest confidentiality on all data collected and related processes. They will actively take measures to prevent the unauthorized sharing of any information and data belonging to IMPACT and its partners, or collected during his/her assignment with IMPACT. REQUIREMENTS • Excellent academic qualifications, including a Master s degree in relevant discipline (such maths and statistics, information science, geography), or an equivalent combination of relevant training and experience in humanitarian related activities in disaster or conflict situation; • 4 years of relevant working experience in a humanitarian setting, such as information management, GIS, monitoring and evaluation, research design and analysis, etc.; • Sound judgment and emotional intelligence in high-pressure or sensitive situations. Possesses strong interpersonal awareness and the ability to respond constructively to feedback and shifting priorities; • Knowledge of the humanitarian community, specifically with regards to inter-agency coordination; • Experience in the context of partnership building and consensual decision-making; • Proven ability to conceptualize, develop, plan monitor and evaluate IM in relation to programming, as well as to teach skills and build team capacity; • Excellent writing, communication and negotiation skills; ability to prepare clear and concise reports; • Understanding of different data collection methodologies and their strengths and weaknesses, to be able to assess quality/reliability of secondary sources and to advice on potential areas of improvement; • Ability to compile, triangulate and holistically analyse diverse and large datasets; • Experience with handling confidential and sensitive data and demonstrated; • Ability to work effectively and harmoniously in a team and in the inter-agency context with colleagues from a variety of cultures and professional backgrounds; • Resilience, stress tolerance and ability to work under difficult conditions; • Fluently spoken and written English is mandatory. Arabic an asset; • Data capture and analysis : • MS Excel (Essential) : Ability to create macros; Strong knowledge of statistical, conditional, and text-based functions; • Web Design (Asset): HTML, PHP, ASP; Basic understanding of web-based applications • Mapping (Essential) : ArcGIS, QGIS, Understanding of geospatial data management, analysis, and map making processess. • Data programming (essential): R, Python, ability to write data cleaning and analysis pipeline scripts, GitHub or version control experience an asset. COMPENSATION AND BENEFITS • For this position, salary between 2 580 CHF and 2 640 CHF monthly (before income tax), etc as well as a monthly living allowance of 300 USD NB - IMPACT salaries are strictly determined by our salary grid depending on the grade of the position and the level of education of staff. A location-dependent security and/or isolation adjustment is then applied as a recognition that some staff are required to work in difficult places where living and working conditions are much more difficult than elsewhere.&nbsp;</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Excellent academic qualifications, including a Master s degree in relevant discipline (such maths and statistics, information science, geography), or an equivalent combination of relevant training and experience in humanitarian related activities in disaster or conflict situation;</p><p>4 years of relevant working experience in a humanitarian setting, such as information management, GIS, monitoring and evaluation, research design and analysis, etc.;</p><p>Sound judgment and emotional intelligence in high-pressure or sensitive situations. Possesses strong interpersonal awareness and the ability to respond constructively to feedback and shifting priorities;</p><p>Knowledge of the humanitarian community, specifically with regards to inter-agency coordination;</p><p>Experience in the context of partnership building and consensual decision-making;</p><p>Proven ability to conceptualize, develop, plan monitor and evaluate IM in relation to programming, as well as to teach skills and build team capacity;</p><p>Excellent writing, communication and negotiation skills; ability to prepare clear and concise reports;</p><p>Understanding of different data collection methodologies and their strengths and weaknesses, to be able to assess quality/reliability of secondary sources and to advice on potential areas of improvement;</p><p>Ability to compile, triangulate and holistically analyse diverse and large datasets;</p><p>Experience with handling confidential and sensitive data and demonstrated;</p><p>Ability to work effectively and harmoniously in a team and in the inter-agency context with colleagues from a variety of cultures and professional backgrounds;</p><p>Resilience, stress tolerance and ability to work under difficult conditions;</p><p>Fluently spoken and written English is mandatory. Arabic an asset;</p><p>Data capture and analysis :</p><p>MS Excel (Essential) : Ability to create macros; Strong knowledge of statistical, conditional, and text-based functions;</p><p>Web Design (Asset): HTML, PHP, ASP; Basic understanding of web-based applications</p><p>Mapping (Essential) : ArcGIS, QGIS, Understanding of geospatial data management, analysis, and map making processess.</p><p>Data programming (essential): R, Python, ability to write data cleaning and analysis pipeline scripts, GitHub or version control experience an asset.</p><p></p></section>

<p>We are seeking a talented Machine Learning Engineer to join our data science team. The ideal candidate will be responsible for developing and implementing machine learning models and algorithms that solve complex business problems. You will work closely with data scientists, software engineers, and stakeholders to deliver scalable solutions.</p><ul><li>Design, build, and deploy machine learning models and algorithms.</li><li>Collaborate with data scientists to refine data features and enhance model performance.</li><li>Optimize and improve existing machine learning models for efficiency and accuracy.</li><li>Conduct data preprocessing, feature engineering, and data analysis.</li><li>Monitor and maintain models in production to ensure they operate effectively.</li><li>Document and communicate model designs and performance metrics to stakeholders.</li><li>Stay updated on the latest industry trends and advancements in machine learning and AI.</li><li>Participate in code reviews and contribute to a culture of continuous improvement.</li><li>Perform statistical analysis, and train and retrain systems to optimize performance.</li><li>Familiarity with version control systems (e.g., Git) and CI/CD practices.</li><li>Experience with AI/GenAI.</li><li>Experience with AWS data services (e.g., AWS EMR, AWS Glue, AWS Athena).</li><li>Design/build and deploy API services.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.</li><li>Proven experience as a Machine Learning Engineer or in a similar role.</li><li>Proficiency in programming languages such as Python.</li><li>Experience with machine learning frameworks and libraries (e.g.,AWS BedRock, Amazon SageMaker, TensorFlow, PyTorch, Scikit-learn).</li><li>Strong understanding of algorithms, data structures, and software engineering principles.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and tools for deploying machine learning models.</li><li>Knowledge of data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).</li><li>Excellent problem-solving skills and ability to work collaboratively in a team environment.</li><li>Experience with deep learning and natural language processing (NLP) techniques.</li><li>Understanding of model interpretability and explainability.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>AWS Cloud Engineer (Remote – Jordan)</p><p><br></p><p>We are hiring AWS Cloud Engineers to join our managed services team supporting enterprise clients in Europe. You will operate and develop internet-facing applications on AWS in a 24/7 model.</p><p><br></p><p>What you'll do:</p><p>• Operate and monitor AWS-based applications (EC2, VPC, Route 53, S3)</p><p>• Handle incidents under strict SLAs (15-min pickup, 30-min response, 2-hr resolution)</p><p>• Build and maintain Infrastructure as Code (CloudFormation, CDK, or Terraform)</p><p>• Monthly patching, backup &amp; restore, disaster recovery</p><p>• Maintain operational documentation (runbooks, recovery plans)</p><p>• Support platform services: Control Tower, Security Hub, GuardDuty, Transit Gateway, IAM</p><p>• Antivirus management (Trend Micro Cloud One)</p><p><br></p><p>What you bring:</p><p>• Valid AWS certification (Solutions Architect Associate or higher)</p><p>• Hands-on AWS experience (minimum 2 years)</p><p>• Infrastructure as Code skills (CloudFormation, CDK, or Terraform)</p><p>• Strong Linux administration skills</p><p>• Monitoring &amp; ticketing experience (any tools — we'll train on ours)</p><p>• Fluent English (written &amp; spoken)</p><p>• Willingness to participate in 24/7 on-call rotation</p><p><br></p><p>Nice to have:</p><p>• AWS Solutions Architect Professional or Security Specialty</p><p>• ITIL knowledge</p><p>• Experience in regulated industries (insurance/finance)</p><p>• Nextcloud experience</p><p><br></p><p>What we offer:</p><p>• Competitive salary (well above local market)</p><p>• 24/7 standby compensation on top of base pay</p><p>• Long-term engagement (12 months, renewable)</p><p>• Work with enterprise-grade European clients</p><p>• Remote from Jordan</p><p><br></p><p>Start: Q1 2027</p><p>Type: Full-time contractor</p><p>Location: Remote (Jordan)</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>AWS EC2, AWS VPC, AWS Route 53, AWS S3, AWS IAM, AWS Control Tower, AWS Security Hub, AWS GuardDuty, AWS Transit Gateway, AWS Network Firewall, AWS Organizations, AWS CloudFormation, AWS CDK, Terraform, Infrastructure as Code, Linux Administration, 24/7 Operations, Incident Management, SLA Management, Monitoring, Site24x7, ServiceNow, Trend Micro Cloud One, Backup &amp; Restore, Disaster Recovery, Patching, CI/CD, Python, Bash Scripting, ITIL, Security Best Practices, CIS Benchmark, Nextcloud, Runbook Documentation</p></div>

<p><p>At Syarah, we are building the future of automotive e-commerce in the region, with data at the core of our operations. We’re looking for a senior data specialist to support and scale our data systems, analytics, and reporting capabilities.</p> <p>This is a hands-on role where you will build reliable data pipelines, improve data quality, and generate insights that support business decisions across product, operations, and finance. You will play a key role in developing and maintaining our data infrastructure on GCP.</p> <h4>Key responsibilities</h4> <ul> <li>Build and maintain scalable data pipelines and ETL processes</li> <li>Develop and optimize Syarah’s data platform on GCP (BigQuery, Dataform, Cloud Run)</li> <li>Design and maintain clean, scalable data models for reporting and analytics</li> <li>Integrate data from multiple sources, including ERP and operational systems</li> <li>Develop and maintain APIs (Flask or similar) for data access and integrations</li> <li>Manage and monitor data workflows using Airflow or similar tools</li> <li>Ensure data accuracy, consistency, and reliability across systems</li> <li>Support integration of tools like Mixpanel and Adjust for analytics and tracking</li> <li>Build dashboards and reports for business teams</li> <li>Analyze data to identify trends, issues, and opportunities</li> <li>Collaborate with product, finance, and operations teams to support data needs</li> <li>Contribute to automation and internal tooling, including AI-related use cases where relevant</li> </ul> <h4>Requirements</h4> <ul> <li>4+ years of experience in data engineering, analytics, or similar roles</li> <li>Strong experience with GCP (BigQuery preferred)</li> <li>Advanced proficiency in SQL and Python</li> <li>Experience building and maintaining data pipelines and ETL processes</li> <li>Hands-on experience with Airflow or similar workflow orchestration tools</li> <li>Experience with APIs (Flask or similar frameworks is a plus)</li> <li>Strong understanding of data modeling and analytics best practices</li> <li>Familiarity with analytics tools (e.g., Mixpanel, Adjust) is a plus</li> <li>Experience working with ERP systems is a plus</li> <li>Strong problem-solving and analytical skills</li> <li>Ability to work in a fast-paced, cross-functional environment</li> </ul></p><p></p>

<p><p>At Syarah, we are building the future of automotive e-commerce in the region, with data at the core of our operations. We’re looking for a senior data specialist to support and scale our data systems, analytics, and reporting capabilities.</p> <p>This is a hands-on role where you will build reliable data pipelines, improve data quality, and generate insights that support business decisions across product, operations, and finance. You will play a key role in developing and maintaining our data infrastructure on GCP.</p> <h4>Key responsibilities</h4> <ul> <li>Build and maintain scalable data pipelines and ETL processes</li> <li>Develop and optimize Syarah’s data platform on GCP (BigQuery, Dataform, Cloud Run)</li> <li>Design and maintain clean, scalable data models for reporting and analytics</li> <li>Integrate data from multiple sources, including ERP and operational systems</li> <li>Develop and maintain APIs (Flask or similar) for data access and integrations</li> <li>Manage and monitor data workflows using Airflow or similar tools</li> <li>Ensure data accuracy, consistency, and reliability across systems</li> <li>Support integration of tools like Mixpanel and Adjust for analytics and tracking</li> <li>Build dashboards and reports for business teams</li> <li>Analyze data to identify trends, issues, and opportunities</li> <li>Collaborate with product, finance, and operations teams to support data needs</li> <li>Contribute to automation and internal tooling, including AI-related use cases where relevant</li> </ul> <h4>Requirements</h4> <ul> <li>4+ years of experience in data engineering, analytics, or similar roles</li> <li>Strong experience with GCP (BigQuery preferred)</li> <li>Advanced proficiency in SQL and Python</li> <li>Experience building and maintaining data pipelines and ETL processes</li> <li>Hands-on experience with Airflow or similar workflow orchestration tools</li> <li>Experience with APIs (Flask or similar frameworks is a plus)</li> <li>Strong understanding of data modeling and analytics best practices</li> <li>Familiarity with analytics tools (e.g., Mixpanel, Adjust) is a plus</li> <li>Experience working with ERP systems is a plus</li> <li>Strong problem-solving and analytical skills</li> <li>Ability to work in a fast-paced, cross-functional environment</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Purpose of the Job <br></span><p>As a key member of DevOps team, the Senior Analyst, Change and Release Management will play a critical role focuses on streamlining software development processes by integrating development and operations, implementing automation tools, and fostering collaboration. Responsibilities include infrastructure management, automation of deployment pipelines, tool selection and integration, and ensuring efficient, reliable, and secure delivery of software products throughout the development lifecycle.</p><br><br> <p>Additionally, the incumbent will optimize resource utilization and ultimately, the role contributes to quicker release cycles, reduced downtime, improved system performance, and increased innovation, driving overall business agility and success.</p><br><br>Job Description <br><p><strong>Customer:</strong></p><br><br> <p>•Ensure continuous delivery of new features and updates to improve product offerings.</p><br><br> <p>•Quickly respond to and resolve production issues to minimize customer impact.</p><br><br> <p>•Collect and analyze customer feedback to guide development and operations improvements.</p><br><br> <p>•Maintain and improve system reliability, uptime, and overall performance.</p><br><br> <p><strong>People:</strong></p><br><br> <p>•Foster a collaborative culture between development, product team, and other cross-functional teams.</p><br><br> <p>•Facilitate regular communication and collaboration through meetings, tools, and processes.</p><br><br> <p>•Provide training and resources to team members to improve their skills in DevOps practices and tools.</p><br><br> <p>•Encourage continuous learning and professional development within the team.</p><br><br> <p>•Promote best practices and standards across the team.</p><br><br> <p><strong>Operations:</strong></p><br><br> <p>•Develop and maintain CI/CD pipelines to automate the build, test, and deployment processes.</p><br><br> <p>•Automate repetitive tasks to increase efficiency and reduce human error.</p><br><br> <p>•Manage cloud and on-premises infrastructure to support development and production environments.</p><br><br> <p>•Ensure infrastructure is scalable, secure, and cost-effective.</p><br><br> <p>•Implement incident management processes to quickly address and resolve production issues.</p><br><br> <p>•Conduct post-incident reviews and implement improvements to prevent future occurrences.</p><br><br> <p>•Manage and maintain configuration settings for applications and infrastructure.</p><br><br> <p>•Use configuration management tools to ensure consistency across environments.</p><br><br> <p>•Participate in strategic planning and roadmap development for DevOps initiatives.</p><br><br> <p>•Lead the planning, coordination, and execution of software releases across multiple environments, ensuring timely and high-quality delivery.</p><br><br> <p>•Design, build, and maintain scalable infrastructure.</p><br><br> <p><strong>Financial Results:</strong></p><br><br> <p>•Monitor and optimize cloud and infrastructure costs to ensure efficient use of resources.</p><br><br> <p>•Implement cost-saving measures without compromising on performance and reliability.</p><br><br> <p>•Allocate resources effectively to meet operational and project needs.</p><br><br> <p>•Balance resource allocation to support both ongoing operations and new initiatives.</p><br><br> <p>•Assist in planning and managing budgets for DevOps tools, infrastructure, and team resources</p><br><br>Job Requirements - Experience and Education <br><ul> <li>Bachelor’s degree in computer science or engineering.</li> <li>Candidates working for this position should possess at least 3 years of work experience as a DevOps Engineer, release management.</li> <li>Candidates must possess ample knowledge and experience in system automation, deployment, and implementation.</li> <li>Strong ability to work with remote teams.</li> <li>Candidates must possess experience in using Linux, Windows, CI/CD, Azure DevOps, GitHub, AWS Code Deploy.</li> <li>The candidates should also possess experience in the software development process and tools and languages like SaaS, Python, Shell scripting and Git.&nbsp;</li> <li>Candidates should demonstrate knowledge in handling distributed data systems. Examples: Elasticsearch, Cassandra, and others.</li> <li>Candidates must possess in configuring and automating the monitoring tools. Examples: Elastic APM, DebugDiag, etc</li> </ul><br>Leadership Behaviors <br>Building Outstanding Teams<br>Setting a clear direction<br>Simplification<br>Collaborate &amp; break silos<br>Execution &amp; Accountability<br>Growth mindset<br>Innovation<br>Inclusion<br>External focus<br>Skills <br> </div>