وظائف مطورين بايثون في الأردن

<p><h4>About Octopus by RTG</h4> <p>Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.</p> <h4>Job overview</h4> <p>The Digital Marketing, CRM & Loyalty Lead will be responsible for driving app marketing initiatives, CRM and lifecycle marketing programs, loyalty operations, data analysis and reporting, and managing relationships with key vendors and stakeholders.</p> <h4>Key responsibilities</h4> <p><strong>App marketing & campaign management (40%)</strong><br> Execute campaigns across the mobile application.<br> Manage offer builds, push notifications, in-app content, and delivery channel activations.</p> <p><strong>CRM & lifecycle marketing (25%)</strong><br> Develop automated CRM programs across onboarding, engagement, retention, and reactivation.<br> Manage CRM agency relationships from briefing through execution and performance review.</p> <p><strong>Loyalty program management (20%)</strong><br> Own loyalty program operations, including earn/burn mechanics, reward catalog, point thresholds, and expiry policies.<br> Plan and execute booster campaigns on both the burn side (discounted redemptions) and earn side (point multipliers) to drive engagement and redemption rates.</p> <p><strong>Data & reporting (15%)</strong><br> Write and maintain BigQuery SQL across transactional app data, GA4 event data, and CRM platform exports.<br> Build dashboards for stakeholders and senior leadership using Python, Looker Studio, and in-house web tooling.<br> Prepare monthly leadership reports, including Excel-based reporting where required.<br> Conduct incremental sales analysis for offers and campaigns, including methodology design, control group selection, baseline construction, and accounting for halo effects.</p> <p><strong>Vendor & stakeholder management</strong><br> Act as the primary contact for the loyalty platform vendor, CRM agency, app development partner, MMP, and analytics providers.<br> Coordinate cross-functional alignment with Marketing, Operations, Finance, Legal, and Technology teams.</p> <h4>Requirements</h4> <ul> <li>Experience in digital marketing, CRM, loyalty programs, or customer engagement.</li> <li>Hands-on experience executing app marketing campaigns, including push notifications, in-app content, offers, and channel activations.</li> <li>Experience developing and managing CRM and lifecycle marketing programs across onboarding, engagement, retention, and reactivation.</li> <li>Experience working with CRM agencies and managing campaign execution and performance reviews.</li> <li>Knowledge of loyalty program operations, including earn/burn mechanics, reward structures, point management, and redemption campaigns.</li> <li>Experience planning and executing customer engagement and loyalty initiatives.</li> <li>Strong SQL skills with experience working on large datasets (BigQuery preferred).</li> <li>Experience analyzing transactional, CRM, and customer behavior data.</li> <li>Experience with Google Analytics 4 (GA4).</li> <li>Experience building dashboards and reports using tools such as Looker Studio and Python.</li> <li>Ability to perform campaign performance analysis and measure incremental sales impact.</li> <li>Experience working with control groups, baseline analysis, and campaign measurement methodologies.</li> <li>Experience managing external vendors and agency partners.</li> <li>Strong stakeholder management skills with the ability to collaborate across Marketing, Operations, Finance, Legal, and Technology teams.</li> </ul></p><p></p>

<p><h4>About Octopus by RTG</h4> <p>Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.</p> <h4>Job overview</h4> <p>The Digital Marketing, CRM & Loyalty Lead will be responsible for driving app marketing initiatives, CRM and lifecycle marketing programs, loyalty operations, data analysis and reporting, and managing relationships with key vendors and stakeholders.</p> <h4>Key responsibilities</h4> <p><strong>App marketing & campaign management (40%)</strong><br> Execute campaigns across the mobile application.<br> Manage offer builds, push notifications, in-app content, and delivery channel activations.</p> <p><strong>CRM & lifecycle marketing (25%)</strong><br> Develop automated CRM programs across onboarding, engagement, retention, and reactivation.<br> Manage CRM agency relationships from briefing through execution and performance review.</p> <p><strong>Loyalty program management (20%)</strong><br> Own loyalty program operations, including earn/burn mechanics, reward catalog, point thresholds, and expiry policies.<br> Plan and execute booster campaigns on both the burn side (discounted redemptions) and earn side (point multipliers) to drive engagement and redemption rates.</p> <p><strong>Data & reporting (15%)</strong><br> Write and maintain BigQuery SQL across transactional app data, GA4 event data, and CRM platform exports.<br> Build dashboards for stakeholders and senior leadership using Python, Looker Studio, and in-house web tooling.<br> Prepare monthly leadership reports, including Excel-based reporting where required.<br> Conduct incremental sales analysis for offers and campaigns, including methodology design, control group selection, baseline construction, and accounting for halo effects.</p> <p><strong>Vendor & stakeholder management</strong><br> Act as the primary contact for the loyalty platform vendor, CRM agency, app development partner, MMP, and analytics providers.<br> Coordinate cross-functional alignment with Marketing, Operations, Finance, Legal, and Technology teams.</p> <h4>Requirements</h4> <ul> <li>Experience in digital marketing, CRM, loyalty programs, or customer engagement.</li> <li>Hands-on experience executing app marketing campaigns, including push notifications, in-app content, offers, and channel activations.</li> <li>Experience developing and managing CRM and lifecycle marketing programs across onboarding, engagement, retention, and reactivation.</li> <li>Experience working with CRM agencies and managing campaign execution and performance reviews.</li> <li>Knowledge of loyalty program operations, including earn/burn mechanics, reward structures, point management, and redemption campaigns.</li> <li>Experience planning and executing customer engagement and loyalty initiatives.</li> <li>Strong SQL skills with experience working on large datasets (BigQuery preferred).</li> <li>Experience analyzing transactional, CRM, and customer behavior data.</li> <li>Experience with Google Analytics 4 (GA4).</li> <li>Experience building dashboards and reports using tools such as Looker Studio and Python.</li> <li>Ability to perform campaign performance analysis and measure incremental sales impact.</li> <li>Experience working with control groups, baseline analysis, and campaign measurement methodologies.</li> <li>Experience managing external vendors and agency partners.</li> <li>Strong stakeholder management skills with the ability to collaborate across Marketing, Operations, Finance, Legal, and Technology teams.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/Lang Graph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, Lang Graph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>Description</h4> <p>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/LangGraph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, LangGraph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>Description</h4> <p>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/LangGraph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, LangGraph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives.</h4> <p>This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using Langchain, Langgraph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>DevOps Engineer We re a crypto exchange where reliability and security are core to everything we do. We re looking for someone to own our AWS and Cloudflare infrastructure, streamline deployments, and help us maintain the high security standards that come with being ISO 27001 certified.</p><p>What you ll do</p><ul><li>Build and maintain our cloud infrastructure on AWS and Cloudflare networking, compute, storage, security, the works.</li><li>Own our CI/CD pipelines and make shipping code fast and safe.</li><li>Automate everything you can: provisioning, configuration, monitoring, operational tasks.</li><li>Monitor systems, track down issues, and fix them before they become incidents.</li><li>Handle production deployments, rollbacks, and incident response.</li><li>Manage and tune databases backups, replication, performance, and availability.</li><li>Keep our infrastructure secure, backed up, and recoverable.</li><li>Help maintain ISO 27001 compliance and support security audits.</li><li>Write runbooks and document systems so the team isn t guessing at 2am.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>What you need</p><ul><li>3 year Experience as a DevOps Engineer, SRE, Cloud Engineer, or similar you ve done this before.</li><li>Solid hands-on experience with AWS (compute, networking, IAM, storage, monitoring, deployments).</li><li>Comfortable with Linux, shell scripting, and networking fundamentals.</li><li>Experience with Terraform , Terragrunt , Atmos and Atlantis .</li><li>Hands-on with Kubernetes and related technologies such as Istio and Kyverno .</li><li>Experience with a CI/CD tool like GitHub Actions .</li><li>Can debug infrastructure and deployment problems under pressure.</li><li>Experience with Cloudflare (DNS, CDN, WAF, DDoS protection) or similar edge/security platforms.</li><li>Understands cloud security, access management, and disaster recovery.</li><li>Comfortable working within compliance frameworks (ISO 27001 or similar).</li><li>Hands-on database experience performance tuning, backups, replication, failover.</li></ul><p>Nice to have</p><ul><li>Familiarity with monitoring/logging stacks (CloudWatch, Prometheus, Grafana, ELK).</li><li>Experience with caching, load balancing, and high-availability setups.</li><li>Scripting beyond Bash Python or similar.</li><li>Familiarity with AI related tools and technologies AWS or other cloud certifications.</li><li>Experience in fintech, crypto, or other security-sensitive industries.</li><li>Background CS degree or equivalent practical experience in DevOps, cloud infrastructure, or platform engineering.</li></ul><p>We care more about what you can do than where you studied.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>BlackStone eIT is actively looking for a dedicated AI Team Lead to spearhead our Artificial Intelligence initiatives.<br> This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision.<br> You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.<br> Responsibilities: Lead the AI team in designing, developing, and implementing AI models and systems.<br> Collaborate with stakeholders to identify AI opportunities that drive business value.<br> Guide the team to effectively use machine learning frameworks and tools.<br> Oversee project lifecycle from research and prototyping to production deployment.<br> Maintain knowledge of latest trends and advancements in AI and machine learning.<br> Establish best practices and foster a culture of continuous improvement and innovation.<br> Paid Time Off Performance Bonus Training &amp; Development Experience: 6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering.<br> 3+ years of experience in a technical leadership or mentoring role.<br> Programming &amp; Frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).<br> Cloud Infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).<br> NLP Expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.<br> CV Expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.<br> MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.<br> Experience with building and deploying Autonomous AI Agents (e.<br>g., using Langchain,langgraph,Crew ai ).<br> Background in edge deployment for Computer Vision models (TensorRT, ONNX).<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span >Key Responsibilities</span></p><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></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><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></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p> We’re Hiring | Junior Structural BIM Modeler</p><p><br></p><p>MAX Consulting Engineers is looking for a motivated Junior Structural BIM Modeler to join our team in Amman, Jordan.</p><p><br></p><p> Location: Amman, Jordan</p><p> Experience: 2–5 Years</p><p> Employment Type: Full-Time</p><p>️ Discipline: Structural / BIM</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>• Bachelor’s degree in Civil / Structural Engineering or related field.</p><p>• 2–5 years of experience in Structural BIM, Revit &amp; detailing.</p><p>• Good proficiency in Revit Structure.</p><p>• Knowledge of Navisworks &amp; BIM Coordination.</p><p>• Experience with Structural Shop Drawings &amp; Reinforcement Detailing.</p><p>• Good understanding of structural systems and constructability.</p><p>• Experience with ACC, Dynamo, Python, or Revit API is a plus.</p></div>

<p><h4>Description</h4> <p><strong>Job purpose</strong><br> As the team lead at Tarjama, you will be responsible for leading a technical team in the design, development, and delivery of high-quality technology solutions aligned with Tarjama’s strategic goals. This role ensures the successful execution of engineering tasks, enforces development best practices, and acts as a hands-on contributor while also coordinating with cross-functional teams. The team lead mentors team members and ensures the timely delivery of projects. They also translate technical direction into day-to-day implementation.</p> <h4>Duties & responsibilities</h4> <h4>Technical leadership & execution oversight</h4> <ul> <li>Oversee daily development activities, ensuring alignment with coding standards, architecture guidelines, and delivery timelines.</li> <li>Guide system design and architecture discussions, providing hands-on technical input where needed.</li> <li>Support engineers in problem-solving, debugging, and performance optimization, acting as a key technical escalation point.</li> <li>Review and approve key code components, ensuring quality, scalability, and maintainability.</li> </ul> <h4>Team management & mentorship</h4> <ul> <li>Lead, coach, and develop a team of engineers with varying levels of experience.</li> <li>Conduct regular 1:1s, performance check-ins, and technical feedback sessions to ensure growth and accountability.</li> <li>Facilitate onboarding and continuous technical upskilling of team members.</li> <li>Foster a culture of knowledge sharing, collaboration, and continuous improvement.</li> </ul> <h4>Collaboration & cross-functional alignment</h4> <ul> <li>Work closely with product, QA, DevOps, and design teams to ensure shared understanding of project goals and priorities.</li> <li>Help translate product requirements into actionable development plans and ensure clear task delegation.</li> <li>Act as a liaison between the development team and technology leadership, providing visibility into progress, risks, and resource needs.</li> </ul> <h4>Code quality, documentation & standards</h4> <ul> <li>Enforce best practices in coding, documentation, testing, and deployment.</li> <li>Promote peer code reviews, unit testing, and automation to ensure reliability and consistency.</li> <li>Ensure comprehensive documentation is maintained for all critical systems and architectural decisions.</li> <li>Support continuous improvement of internal development workflows and tools.</li> </ul> <h4>System support & deployment coordination</h4> <ul> <li>Collaborate with DevOps and infrastructure teams to ensure system performance, CI/CD readiness, and release reliability.</li> <li>Monitor deployment readiness and troubleshoot issues during staging and production releases.</li> <li>Participate in the evaluation and adoption of new technologies and frameworks that align with business needs.</li> </ul> <h4>Education, experience & qualifications</h4> <ul> <li>Bachelor’s degree in computer science, software engineering, or a related field.</li> <li>8+ years of hands-on software development experience with at least 2 years in a technical leadership or team lead role.</li> <li>Strong experience with Node.js; Python is a plus.</li> <li>Proficiency in designing and reviewing scalable architectures using microservices and RESTful APIs.</li> <li>Experience working with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB, Redis).</li> <li>Solid experience in Agile/Scrum environments and sprint management.</li> <li>Proficient in English language.</li> </ul> <h4>Behavioral competencies</h4> <ul> <li>Communication</li> <li>Decision making</li> <li>Stakeholder management</li> <li>Team building & management</li> <li>Conflict management</li> <li>Results orientation</li> <li>Influencing others</li> </ul> <h4>Technical competencies</h4> <ul> <li>Backend development (Node.js, Python is a plus)</li> <li>Microservices & system architecture</li> <li>RESTful API design & integration</li> <li>Code review & quality standards</li> <li>Cloud infrastructure (AWS, Azure)</li> <li>CI/CD & DevOps collaboration</li> <li>Database design & optimization</li> <li>Performance monitoring & debugging</li> <li>Documentation & technical writing</li> <li>Agile development practices</li> </ul></p><p></p>

<p><h4>Description</h4> <p><strong>Job purpose</strong><br> As the team lead at Tarjama, you will be responsible for leading a technical team in the design, development, and delivery of high-quality technology solutions aligned with Tarjama’s strategic goals. This role ensures the successful execution of engineering tasks, enforces development best practices, and acts as a hands-on contributor while also coordinating with cross-functional teams. The team lead mentors team members and ensures the timely delivery of projects. They also translate technical direction into day-to-day implementation.</p> <h4>Duties & responsibilities</h4> <h4>Technical leadership & execution oversight</h4> <ul> <li>Oversee daily development activities, ensuring alignment with coding standards, architecture guidelines, and delivery timelines.</li> <li>Guide system design and architecture discussions, providing hands-on technical input where needed.</li> <li>Support engineers in problem-solving, debugging, and performance optimization, acting as a key technical escalation point.</li> <li>Review and approve key code components, ensuring quality, scalability, and maintainability.</li> </ul> <h4>Team management & mentorship</h4> <ul> <li>Lead, coach, and develop a team of engineers with varying levels of experience.</li> <li>Conduct regular 1:1s, performance check-ins, and technical feedback sessions to ensure growth and accountability.</li> <li>Facilitate onboarding and continuous technical upskilling of team members.</li> <li>Foster a culture of knowledge sharing, collaboration, and continuous improvement.</li> </ul> <h4>Collaboration & cross-functional alignment</h4> <ul> <li>Work closely with product, QA, DevOps, and design teams to ensure shared understanding of project goals and priorities.</li> <li>Help translate product requirements into actionable development plans and ensure clear task delegation.</li> <li>Act as a liaison between the development team and technology leadership, providing visibility into progress, risks, and resource needs.</li> </ul> <h4>Code quality, documentation & standards</h4> <ul> <li>Enforce best practices in coding, documentation, testing, and deployment.</li> <li>Promote peer code reviews, unit testing, and automation to ensure reliability and consistency.</li> <li>Ensure comprehensive documentation is maintained for all critical systems and architectural decisions.</li> <li>Support continuous improvement of internal development workflows and tools.</li> </ul> <h4>System support & deployment coordination</h4> <ul> <li>Collaborate with DevOps and infrastructure teams to ensure system performance, CI/CD readiness, and release reliability.</li> <li>Monitor deployment readiness and troubleshoot issues during staging and production releases.</li> <li>Participate in the evaluation and adoption of new technologies and frameworks that align with business needs.</li> </ul> <h4>Education, experience & qualifications</h4> <ul> <li>Bachelor’s degree in computer science, software engineering, or a related field.</li> <li>8+ years of hands-on software development experience with at least 2 years in a technical leadership or team lead role.</li> <li>Strong experience with Node.js; Python is a plus.</li> <li>Proficiency in designing and reviewing scalable architectures using microservices and RESTful APIs.</li> <li>Experience working with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB, Redis).</li> <li>Solid experience in Agile/Scrum environments and sprint management.</li> <li>Proficient in English language.</li> </ul> <h4>Behavioral competencies</h4> <ul> <li>Communication</li> <li>Decision making</li> <li>Stakeholder management</li> <li>Team building & management</li> <li>Conflict management</li> <li>Results orientation</li> <li>Influencing others</li> </ul> <h4>Technical competencies</h4> <ul> <li>Backend development (Node.js, Python is a plus)</li> <li>Microservices & system architecture</li> <li>RESTful API design & integration</li> <li>Code review & quality standards</li> <li>Cloud infrastructure (AWS, Azure)</li> <li>CI/CD & DevOps collaboration</li> <li>Database design & optimization</li> <li>Performance monitoring & debugging</li> <li>Documentation & technical writing</li> <li>Agile development practices</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking a dynamic and experienced Senior AI Engineer to join our innovative team specializing in Browser Session Capture &amp; Replay. This role presents a unique opportunity to work at the forefront of AI technology, where you will lead projects that enhance user experience through intelligent session management. As a key player in our organization, you will not only contribute to cutting-edge solutions but also drive strategic initiatives that align with our business vision.</p><p>In this role, you will collaborate with cross-functional teams to design and implement AI-driven algorithms that optimize session capture and replay functionalities. You will have the chance to mentor junior engineers, fostering a culture of learning and growth within the team. Our company values continuous improvement and encourages employees to pursue professional development opportunities, ensuring that you stay at the leading edge of AI advancements.</p><p>As a Senior AI Engineer, you will also be instrumental in shaping the future of our technology landscape. Your insights and expertise will influence product direction and strategy, making a significant impact on our overall business objectives. We believe in empowering our employees, providing them with the resources and support needed to excel in their careers. Join us to make a difference and lead the way in innovative AI solutions.</p><p><b>Responsibilities:</b></p><ol><li>Lead the design and development of AI algorithms for session capture and replay, utilizing programming languages such as Python and Java, to enhance user interactions and improve software performance.</li><li>Collaborate with product managers and UX designers to define project requirements, ensuring that the AI solutions meet user needs and align with business goals.</li><li>Conduct thorough testing and validation of AI models, using tools like TensorFlow and PyTorch, to guarantee high accuracy and reliability in session replay functionalities.</li><li>Mentor junior engineers, providing guidance and support in AI best practices, fostering a collaborative team environment that encourages knowledge sharing and professional growth.</li><li>Analyze large datasets to extract insights and improve algorithm performance, leveraging data analysis tools and techniques to drive informed decision-making.</li><li>Stay updated on the latest AI trends and technologies, actively researching new methodologies that can enhance our existing systems and processes.</li><li>Collaborate with data scientists to integrate machine learning models into production environments, ensuring seamless deployment and operational efficiency.</li><li>Participate in code reviews and contribute to the development of best practices, maintaining high standards of code quality and documentation.</li><li>Engage with stakeholders to gather feedback on AI features, iterating on solutions based on user input to continuously improve our offerings.</li></ol> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Proficiency in programming languages such as Python and Java, essential for developing robust AI algorithms.</li><li>Strong understanding of machine learning frameworks like TensorFlow and PyTorch, crucial for building and deploying AI models.</li><li>Experience in data analysis techniques, enabling effective extraction of insights from large datasets.</li><li>Excellent problem-solving skills, necessary for troubleshooting and optimizing AI systems.</li><li>Ability to mentor and lead teams, fostering a collaborative and innovative work environment.</li><li>Knowledge of software development best practices, ensuring high-quality code and efficient workflows.</li><li>Strong communication skills, vital for collaborating with cross-functional teams and presenting technical concepts to non-technical stakeholders.</li></ul></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><strong>Main Activities and Responsibilities:</strong></p><ul><li>Design, implement, and maintain scalable CI/CD pipelines using GitHub Actions, following GitOps methodology with ArgoCD to enable reliable and automated Kubernetes deployments.</li><li>Automate infrastructure provisioning and configuration using Terraform, CloudFormation, and Ansible.</li><li>Manage and optimize AWS infrastructure including networking, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53, with a strong focus on automation, security, and cost optimization.</li><li>Deploy and operate Kubernetes (Amazon EKS) workloads using Helm, Kustomize, and Karpenter, ensuring consistent configuration and efficient cluster autoscaling across environments.</li><li>Implement and maintain monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, and JSM/OpsGenie.</li><li>Support and maintain database and data platform infrastructure (MySQL, PostgreSQL, MongoDB, Redshift), ensuring high availability, performance, monitoring, backup, and disaster recovery.</li><li>Manage edge and application security using Cloudflare and enforce secrets management and IAM governance across environments.</li><li>Investigate production incidents, perform root cause analysis, implement preventive actions, and participate in the on-call escalation rotation to drive continuous service reliability improvements.</li><li>Collaborate with other departments and engineering teams to improve processes, automation, and operational excellence.</li><li>Maintain technical documentation and define and review technical standards for infrastructure and automation.</li><li>Maintain technical documentation and automate operational processes such as backup and disaster recovery.</li></ul><p><strong>Required Skills &amp; Experience:</strong></p><ul><li>5+ years of experience in DevOps, AWS Cloud Engineering, or similar roles.</li><li>Strong experience with CI/CD pipeline design and automation using GitHub Actions, ArgoCD, and GitOps workflows.</li><li>Hands-on experience with AWS services including VPC, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53.</li><li>Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.</li><li>Experience managing and operating Kubernetes clusters (preferably EKS), deploying applications with Helm or Kustomize, and configuring cluster autoscaling with Karpenter.</li><li>Strong understanding of containerization with Docker.</li><li>Proficiency scripting in Bash and/or Python for automation.</li><li>Experience implementing monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, or similar platforms.</li><li>Solid understanding of Linux and networking concepts.</li><li>Familiarity with Windows Server a plus.</li><li>Experience with incident management, troubleshooting production systems, and root cause analysis.</li><li>Experience with databases and data platforms such as PostgreSQL, MySQL, MongoDB, and Redshift.</li><li>Clear written communication and experience working in distributed teams</li></ul><p><strong>Further Info:</strong></p><ul><li>Working hours are 08:30 17.00 Sunday to Thursday</li><li>The role is in Jordan</li><li>Friendly and fun working environment</li><li>Hybrid working</li><li>Flexitime</li><li>A competitive compensation package which includes great benefits</li></ul><p><strong>Desired Candidate Profile</strong></p><p>The Senior DevOps Engineer executes and refines the DevOps strategy and is instrumental in implementing automation and integration across IT Operations, Application Delivery, Development, and Data Warehousing, ensuring alignment with the organization's DevOps methodology. As a senior member of the team, the role also sets technical standards and mentors junior engineers.</p><p><strong>Main Activities and Responsibilities:</strong></p><ul><li>Design, implement, and maintain scalable CI/CD pipelines using GitHub Actions, following GitOps methodology with ArgoCD to enable reliable and automated Kubernetes deployments.</li><li>Automate infrastructure provisioning and configuration using Terraform, CloudFormation, and Ansible.</li><li>Manage and optimize AWS infrastructure including networking, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53, with a strong focus on automation, security, and cost optimization.</li><li>Deploy and operate Kubernetes (Amazon EKS) workloads using Helm, Kustomize, and Karpenter, ensuring consistent configuration and efficient cluster autoscaling across environments.</li><li>Implement and maintain monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, and JSM/OpsGenie.</li><li>Support and maintain database and data platform infrastructure (MySQL, PostgreSQL, MongoDB, Redshift), ensuring high availability, performance, monitoring, backup, and disaster recovery.</li><li>Manage edge and application security using Cloudflare and enforce secrets management and IAM governance across environments.</li><li>Investigate production incidents, perform root cause analysis, implement preventive actions, and participate in the on-call escalation rotation to drive continuous service reliability improvements.</li><li>Collaborate with other departments and engineering teams to improve processes, automation, and operational excellence.</li><li>Maintain technical documentation and define and review technical standards for infrastructure and automation.</li><li>Maintain technical documentation and automate operational processes such as backup and disaster recovery.</li></ul><p><strong>Required Skills &amp; Experience:</strong></p><ul><li>5+ years of experience in DevOps, AWS Cloud Engineering, or similar roles.</li><li>Strong experience with CI/CD pipeline design and automation using GitHub Actions, ArgoCD, and GitOps workflows.</li><li>Hands-on experience with AWS services including VPC, IAM, EC2, EKS, RDS, MSK, ElastiCache, and Route53.</li><li>Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.</li><li>Experience managing and operating Kubernetes clusters (preferably EKS), deploying applications with Helm or Kustomize, and configuring cluster autoscaling with Karpenter.</li><li>Strong understanding of containerization with Docker.</li><li>Proficiency scripting in Bash and/or Python for automation.</li><li>Experience implementing monitoring, logging, and alerting solutions using Prometheus, Grafana, Zabbix, Graylog, or similar platforms.</li><li>Solid understanding of Linux and networking concepts.</li><li>Familiarity with Windows Server a plus.</li><li>Experience with incident management, troubleshooting production systems, and root cause analysis.</li><li>Experience with databases and data platforms such as PostgreSQL, MySQL, MongoDB, and Redshift.</li><li>Clear written communication and experience working in distributed teams</li></ul>

<p>Something is being built at CRD. We invite you to build its engine.</p><p><strong>Desired Candidate Profile</strong></p><p><strong>EXPERIENCE:</strong> A track record of pipelines and automations running in production: Power Automate, n8n, Python, or the tool that fits. Practical application of LLMs to real workflows: quality assurance, document generation, analysis.</p><p><strong>SKILLS:</strong> The ability to carry a loosely defined problem to a working, documented, reproducible system. Familiarity with survey data (Kobo/ODK) or the health and development sector is welcome, though not required.</p><p><strong>CHARACTER</strong> We look for builders who:</p><ul><li>Ship working systems, and improve them in motion</li><li>Document with care, for those who come after</li><li>Offer honest counsel, even when it is unwelcome</li><li>Find more satisfaction in a running pipeline than a polished slide</li></ul>

<p><h4>Role overview</h4> <p>We are seeking a highly skilled senior AI infrastructure and platform engineer to join our client’s team in Riyadh. In this role, you’ll be responsible for building, managing, and optimizing scalable AI infrastructure and compute environments that support high-performance workloads, including GPU-accelerated AI/ML pipelines, cluster scheduling, and orchestration.</p> <h4>Key responsibilities</h4> <ul> <li>Deploy, maintain, and optimize GPU-based compute clusters and infrastructure.</li> <li>Manage and operate GPU orchestration tools and platforms such as: <ul> <li>Nvidia Base Command Manager (critical)</li> <li>Nvidia AI Enterprise Suite</li> <li>Nvidia GPU and Network Operators</li> <li>Nvidia NIMs and Blueprints</li> </ul> </li> <li>Configure, deploy, and maintain compute workloads using scheduling and orchestration tools including: <ul> <li>Slurm (critical)</li> <li>Vanilla Kubernetes</li> </ul> </li> <li>Install, configure, and maintain the underlying OS (e.g. Canonical Ubuntu) and supporting system software.</li> <li>Monitor and troubleshoot infrastructure performance, availability, and reliability; ensure high uptime for AI/ML workloads.</li> <li>Work with data scientists, ML engineers, and development teams to define infrastructure requirements, resource allocation, and deployment workflows.</li> <li>Develop automation scripts, CI/CD pipelines, and best practices for infrastructure provisioning and management.</li> <li>Document architecture, configurations, and operational procedures; enforce security, compliance, and backup policies.</li> </ul> <h4>Requirements</h4> <h5>Required skills & experience</h5> <ul> <li>Proven experience managing GPU-based AI/ML infrastructure and compute clusters.</li> <li>Hands-on experience with: <ul> <li>Nvidia Base Command Manager</li> <li>Nvidia AI Enterprise Suite</li> <li>Nvidia GPU/Network Operators, NIMs, Blueprints</li> </ul> </li> <li>Strong experience with Slurm and/or Kubernetes orchestration.</li> <li>Solid Linux system administration skills — preferably on Ubuntu or similar distributions.</li> <li>Strong scripting/automation ability (e.g. Bash, Python, or relevant tooling) for provisioning, deployment, and maintenance.</li> <li>Excellent troubleshooting and performance-tuning skills.</li> <li>Experience collaborating with ML/data science teams and integrating infrastructure with their workflows.</li> <li>Strong understanding of networking, security, resource allocation, and cluster management best practices.</li> </ul> <h5>Preferred qualifications</h5> <ul> <li>Previous experience working in a high-performance computing (HPC) or AI-focused infrastructure team.</li> <li>Knowledge of containerization, container orchestration, and GPUs in cloud or on-prem environments.</li> <li>Experience with CI/CD, infrastructure-as-code (e.g. Terraform, Ansible), monitoring tools, and logging setups.</li> <li>Familiarity with workload scheduling, job queuing, resource quotas, and GPU-shared environments.</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a talented Sr. Specialist. Data Scientist to join us. At Hikma you ll be supported by a culture of progress and belonging where people are encouraged to develop, wellbeing is prioritised and our inclusive approach values contributions from all. We re seeking candidates who embody our values: Innovative, driven to keep learning; Caring, genuinely compassionate in their work; and Collaborative, eager to solve problems together.</p><p>If you want to be part of a team that cares about impact, this is the place for you.</p><h3>Key Responsibilities:</h3><ul><li>Develop and deploy machine learning models to enhance financial forecasting, anomaly detection, and predictive analytics.</li><li>Work with large datasets from SAP ECC, ERP systems, and external sources, integrating them into Azure Databricks for analytics.</li><li>Collaborate with finance, accounting, and business teams to understand challenges and develop data-driven solutions.</li><li>Design and optimize data pipelines to enable ML model training, validation, and deployment.</li><li>Utilize LLM, NLP, time-series analysis, and deep learning where applicable to extract insights from structured and unstructured data.</li><li>Develop interactive dashboards and visualizations to communicate insights to finance and business stakeholders.</li><li>Ensure data quality, governance, and compliance while handling sensitive financial data.</li><li>Utilize automation tools such as Selenium to streamline data collection and processing workflows</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We are looking for candidates whose experience and skills align closely with the qualifications outlined below:</p><p>Minimum: Bachelor s in Data Science, Computer Science, Statistics, Mathematics, or a related field.</p><p>Preferred: Master s degree in Data Science or a related field.</p><p>At least 4-7 years experience in data science and machine learning.</p><p>Experience in a Finance department is plus.</p><h3>Skills:</h3><p>Strong proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).</p><p>Experience with Databricks and Azure Databricks for large scale data processing and ML model deployment.</p><p>Hands-on experience with SQL and working with relational databases.</p><p>Knowledge of big data processing frameworks such as PySpark.</p><p>Expertise in ETL/ELT processes and working with structured and unstructured datasets.</p><p>Experience with data visualization tools such as Power BI, Tableau.</p><p>Strong problem-solving, analytical, and critical-thinking skills.</p><p>Experience with LLMs and NLP-based solutions for data enrichment and smart automation.</p><p>Proficiency in English, both written and verbal, for effective communication with finance and business stakeholders.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking a dynamic and experienced Senior AI Engineer to join our innovative team focused on Evaluation &amp; Agent Harness. This is an exceptional opportunity for a talented individual who is passionate about artificial intelligence and its applications in real-world scenarios. As a Senior AI Engineer, you will play a pivotal role in designing and implementing cutting-edge AI solutions that drive efficiency and enhance decision-making processes within our organization.</p><p>In this role, you will collaborate closely with cross-functional teams, leveraging your expertise to influence strategic initiatives and contribute to the development of AI-driven products. You will be responsible for leading projects from conception to execution, ensuring that our AI systems meet the highest standards of performance and reliability. We prioritize a culture of continuous learning and professional development, providing numerous opportunities for training and mentorship to help you grow your skills and advance your career.</p><p>As a leader in the field, you will have the chance to shape our technology vision and drive innovations that will impact our industry. Your work will not only contribute to the success of our company but also to the broader AI community. We value diversity and encourage a collaborative environment where every team member's input is appreciated. Join us in pushing the boundaries of what AI can achieve!</p><ol><li><b>Responsibilities:</b>Design and develop advanced AI algorithms for evaluation and agent harness applications, utilizing programming languages such as Python and frameworks like TensorFlow to ensure optimal performance and scalability.</li><li>Lead AI projects by collaborating with data scientists and software engineers, ensuring that solutions are integrated seamlessly into existing systems and meet business objectives.</li><li>Conduct thorough research on the latest AI technologies and methodologies, applying findings to improve current systems and maintain a competitive edge in the market.</li><li>Oversee the deployment of AI models, ensuring they are robust and reliable, while also monitoring their performance and making necessary adjustments to enhance efficiency.</li><li>Mentor junior engineers and interns, providing guidance and support in their development while fostering a culture of innovation and knowledge sharing within the team.</li><li>Collaborate with stakeholders to gather requirements and translate them into technical specifications, ensuring that AI solutions align with business needs and user expectations.</li><li>Implement best practices in AI development, including code reviews and testing protocols, to maintain high-quality standards and reduce technical debt.</li><li>Analyze large datasets to extract meaningful insights that inform AI model training and evaluation, utilizing tools such as SQL and data visualization software.</li><li>Present findings and project updates to senior management, articulating the strategic impact of AI initiatives and their alignment with company goals.</li></ol> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Proficiency in programming languages such as Python, Java, or C++ is essential for developing AI algorithms.</li><li>Strong understanding of machine learning frameworks like TensorFlow or PyTorch to implement AI solutions effectively.</li><li>Experience with data analysis tools and techniques, enabling the extraction of insights from complex datasets.</li><li>Excellent problem-solving skills to troubleshoot and optimize AI models for better performance.</li><li>Strong communication skills to articulate technical concepts to non-technical stakeholders.</li><li>Ability to work collaboratively in a team environment, fostering a culture of innovation and knowledge sharing.</li><li>Experience with cloud platforms such as AWS or Azure for deploying AI applications and managing resources effectively.</li></ul></div>