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ai engineer

CloudJune Technologies LLC

Job SummaryDevelop and implement AI/ML solutions to enhance government services, improve decision-making, and support the UAE Artificial Intelligence Strategy 2031.Key Responsibilities:Design, train, and deploy AI/ML models for NLP, computer vision, and predictive analytics. Prepare and manage datasets in compliance with Abu Dhabi Data Management Standards. Integrate AI solutions into government systems and smart services. Ensure compliance with Ethical AI Guidelines and AI governance frameworks.Research and recommend emerging AI technologies.Qualifications:Bachelor&rsquo;s or Master&rsquo;s in AI, Computer Science, Data Science, or related field (PhD preferred).3&ndash;7 years of AI/ML development experience. Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (Azure, AWS, G42 Cloud).Knowledge of AI ethics, data privacy, and MLOps. Strong problem-solving and communication skills; Arabic an advantage.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Microservices: 5 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>Application Deadline: 25/08/2025 Expected Start Date: 01/09/2025

AI Engineer

Huxley

<div>
 
 
 Hi all,
 
 
 
 
 Job Description: Senior Data Scientist - AI/ML Engineer
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 Are you a seasoned Data Scientist with deep expertise in AI/ML engineering and a passion for building scalable, intelligent solutions? Join our team as a Senior Data Scientist - AI/ML Engineer and play a pivotal role in designing, deploying, and optimizing advanced machine learning models for real-world applications.
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Minimum of
 
 5-7 years
 
 of hands-on experience in data science, machine learning model development, and deployment.
 </li>
 <li>
 Proven expertise in
 
 Azure ML
 
 ,
 
 Dataiku
 
 , and
 
 Azure OpenAI
 
 ; experience with other
 
 LLMs
 
 is a strong plus.
 </li>
 <li>
 Strong programming and coding skills, particularly in
 
 Python
 
 , with deep knowledge of
 
 Pandas
 
 and
 
 NumPy
 
 .
 </li>
 <li>
 Advanced proficiency in deep learning frameworks such as
 
 TensorFlow
 
 and
 
 PyTorch
 
 .
 </li>
 <li>
 Experience in building, training, and fine-tuning ML models for classification, regression, NLP, and generative tasks.
 </li>
 <li>
 Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD pipelines.
 </li>
 <li>
 Experience with cloud-based AI services and deployment on
 
 Azure
 
 .
 </li>
 <li>
 Solid understanding of statistics, data wrangling, feature engineering, and model evaluation techniques.
 </li>
 <li>
 Ability to work collaboratively in cross-functional teams and translate business needs into technical solutions.
 </li>
 <li>
 Master's or PhD in Data Science, Computer Science, Machine Learning, Mathematics, or a related field.
 
 
 </li>
 </ul>
 Responsibilities:
 
 
 
 
 AI/ML Model Development:
 
 
 Design, develop, and optimize machine learning models using Azure ML, Dataiku, and Python-based frameworks. Apply deep learning techniques for NLP, computer vision, and predictive analytics.
 
 
 
 Cloud-Based Deployment:
 
 
 Deploy models on Azure cloud infrastructure, ensuring scalability, performance, and reliability. Integrate models into enterprise platforms and data pipelines.
 
 
 
 Data Engineering &amp; Feature Design:
 
 
 Work with large datasets to perform data cleaning, transformation, and feature engineering. Collaborate with data engineers to ensure robust data pipelines.
 
 
 
 Model Monitoring &amp; Optimization:
 
 
 Implement monitoring systems for model performance and drift. Continuously improve models through retraining, hyperparameter tuning, and architecture enhancements.
 
 
 
 Collaboration &amp; Code Quality:
 
 
 Collaborate with software engineers and business stakeholders to deliver production-grade solutions. Write clean, maintainable code and participate in code reviews.
 
 
 
 Education &amp; Experience:
 
 
 <ul>
 <li>
 Master's or PhD in a relevant field.
 </li>
 <li>
 Demonstrated experience in deploying AI/ML solutions in enterprise environments.
 </li>
 <li>
 Strong communication and problem-solving skills.
 </li>
 <li>
 Experience in sectors such as finance, healthcare, or energy is a plus.
 </li>
 </ul>
 
 If you are passionate about building intelligent systems, optimizing ML pipelines, and solving complex data challenges, apply now and be part of our AI-driven journey.
 
 
 If interested, please revert with your updated CV in Word format to
 
 y[dot]elmkadem[at]huxley[dot]com
 
 and I will get back to you.
 
 
 Referrals and recommendations are more than welcome !
 
 
 
 Kind regards,
 
 
 
 Youness
 
 
 
 
 Let op: vacaturefraude
 
 
 
 
 Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:
 
 * Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).
 
 * Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de offici&euml;le contactgegevens op onze website.
 
 
 
 Important: job fraud
 
 
 
 Unfortunately, job fraud is becoming more common. Beware of such scams:
 
 * We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call.
 
 * If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.
 
</div>

Senior Data Scientist - AI/ML Engineer

Endless Studios

<div>About Endless Studios

Endless Studios is reimagining education through games. We believe the skills that matter most in the 21st century - creativity, collaboration, technical fluency, and entrepreneurial thinking - are best learned by making games, not just playing them. We&rsquo;ve built a system where young people co-create real games alongside their peers and professionals, gaining experience and skills that translate directly into the future of work. Now, we&rsquo;re taking it one step further: making AI central to everything we do. 
Role Overview

We are seeking an AI Product Engineer (Education &amp; Game Making Tools) to design and build AI-native systems that power both our learning programs and game making tools. This is a hands-on product development role that combines AI systems integration, tool automation, and curriculum development. You&rsquo;ll prototype and deploy tools that help students around the world build games faster and push the boundaries of what they can create with AI. 
Key Responsibilities 
Curriculum Development (AI as a learning pathway)
<ul>
<li>Translate cutting-edge AI workflows into student-friendly learning modules within our programs.</li>
<li>Collaborate with educators to embed AI fluency across curriculum.</li></ul> 


AI Systems Engineering (AI as a helper)
<ul>
<li>Develop and deploy AI native tools to empower youth in our soon-to-be launched nationwide learning program (e.g., deploy agentic systems that help students learn and problem-solve).</li></ul> 


Game Making Tools Development (AI as a co-creator)
<ul>
<li>In partnership with our game engineers, design and build AI-assisted features in our proprietary game making tool.</li>
<li>Continuously develop automation tools to make game creation more efficient and fun for students.</li></ul> 


Must-Haves
<ul>
<li>A builder mindset: tinkerer (project examples), hobbyist, creative coder. You must be researching and testing the latest AI tools and workflows, non-stop.</li>
<li>Strong technically - e.g., full-stack engineering skills (e.g., Node.js, Python, React, APIs, databases).</li>
<li>Self-driven, but thrives in collaboration with others, including educators, engineers, and ops.</li>
<li>Have hands-on experience building with LLMs, orchestrating agentic workflows (e.g., LangGraph, LangChain, AutoGen, CrewAI), and embedding them into real-time user experiences.</li> 
</ul>
Nice-to-Have
<ul>
<li>Experience in education technology or youth-facing creator platforms.</li>
<li>Contributions to open-source projects.</li>
<li>Experience deploying scalable AI systems in production (serverless, containerized, or platform-based) is a plus.</li></ul></div>

AI Product Engineer (Education & Game Making Tools)

Charterhouse Middle East

<div>
 
 
 AED 40,000 - 50,000 Per Month, Plus Benefits
 
 
 
 
 
 
 Charterhouse are working with a highly respected and forward-thinking Family Office based in Abu Dhabi that is looking to hire a Senior AI Scientist to join their elite Product Support &amp; Design team. This is a rare opportunity to work on cutting-edge AI initiatives in a private, innovation-driven environment.
 
 
 
 
 
 The Senior AI Scientist will be at the forefront of research, development, and deployment of advanced Large Language Model (LLM) technologies. The role will focus on Retrieval-Augmented Generation (RAG), agent-based systems, and multimodal AI applications. The Senior AI Scientist will be looked upon to lead high-impact technical initiatives and collaborate with cross-functional experts to shape the future of AI within a discreet and well-resourced organization.
 
 
 
 
 
 Additionally, the Senior AI Scientist will be responsible for designing and implementing sophisticated LLM-based systems, overseeing the full lifecycle of LLM projects from pre-training to deployment. This role will involve conducting in-depth research into emerging technologies, designing prompt engineering strategies, and ensuring technical excellence through collaboration with internal stakeholders. The role will also analyse model performance and contribute to the development of industry-leading practices.
 
 
 
 
 
 The successful candidate will have extensive experience in developing and deploying LLMs for complex applications, with deep expertise in RAG, agent systems, and multimodal AI. The ideal candidate will be proficient in frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers. A solid understanding of the underlying mechanics of NLMs and MLMs is crucial for this role.
 
 
 
 
 
 The candidate should come from a strong academic background, ideally a Master&rsquo;s or Ph.D. in Computer Science or a related field, is essential. The successful candidate should also have a proven track record in AI research, including publications, leader-board rankings, or contributions to industry standards, and be comfortable working in diverse, cross-functional teams.
 
 
 
 
 
 Excellent communication skills in English are essential.
 
</div>

Senior AI Scientist

Discovered MENA

<div>
 
 
 Job Title: Senior Backend Engineer &ndash; AI &amp; Cloud Innovation
 
 
 
 
 Location: Abu Dhabi - Relocation required
 
 
 
 
 
 
 
 Job Description
 
 
 
 We are seeking a
 
 Senior Backend Engineer
 
 with a strong background in AI-driven solutions and modern backend architecture. This role is ideal for professionals passionate about building enterprise-grade software from scratch, working on large-scale, complex backend systems, and driving innovation in banking technology.
 
 
 
 
 
 You will design and implement AI-powered backend applications, develop scalable infrastructures, and integrate cutting-edge cloud and DevOps technologies.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and optimize
 
 end-to-end backend architectures
 
 for complex, AI-powered applications.
 </li>
 <li>
 Build and maintain
 
 scalable, secure APIs
 
 (RESTful/GraphQL) and backend logic for AI-driven banking products.
 </li>
 <li>
 Work with
 
 cloud platforms
 
 (Azure preferred, AWS a plus) to deploy and scale enterprise applications.
 </li>
 <li>
 Develop and manage
 
 containerized applications
 
 using
 
 Docker
 
 and
 
 Kubernetes
 
 in a CI/CD environment.
 </li>
 <li>
 Collaborate with
 
 AI and data science teams
 
 to integrate AI/ML models into backend systems.
 </li>
 <li>
 Ensure best practices in
 
 DevOps
 
 ,
 
 CI/CD pipelines
 
 , and automation for seamless deployment.
 </li>
 <li>
 Lead efforts in
 
 software security, authentication (OAuth, JWT), and compliance
 
 in a banking environment.
 </li>
 <li>
 Conduct
 
 root cause analysis, performance tuning, and troubleshooting
 
 for production systems.
 </li>
 <li>
 Drive innovation by
 
 building banking products from the ground up
 
 , leveraging AI and big tech methodologies.
 </li>
 </ul>
 
 
 
 
 
 Professional Experience &amp; Qualifications
 
 
 <ul>
 <li>
 
 5+ years
 
 of experience in backend software engineering, preferably in
 
 banking or fintech
 
 .
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 (must-have); experience with
 
 Rust or Golang
 
 is a plus.
 </li>
 <li>
 Experience in building
 
 enterprise-level applications
 
 with a focus on AI integration.
 </li>
 <li>
 Hands-on experience with
 
 cloud platforms
 
 (Azure preferred, AWS a bonus).
 </li>
 <li>
 Expertise in
 
 containerization (Docker, Kubernetes)
 
 and microservices architectures.
 </li>
 <li>
 Strong background in
 
 DevOps practices
 
 , including CI/CD pipelines and infrastructure as code (Terraform, Jenkins).
 </li>
 <li>
 Experience with
 
 distributed systems, event-driven architectures, and messaging systems (Kafka, RabbitMQ, etc.)
 
 .
 </li>
 <li>
 Strong understanding of
 
 backend security, authentication, and compliance in a banking environment
 
 .
 </li>
 <li>
 Proven experience in
 
 developing products from scratch
 
 and bringing them to production.
 </li>
 </ul>
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Shaping the future of banking through AI and cutting-edge technology.
 </li>
 <li>
 Be part of a
 
 high-impact team
 
 developing
 
 enterprise AI solutions
 
 .
 </li>
 <li>
 Collaborate with top
 
 engineers, AI specialists, and DevOps experts
 
 in a dynamic, fast-paced environment.
 </li>
 </ul>
 
 
 
 
 If you're passionate about
 
 AI, big tech, cloud-native architectures, and building innovative financial products
 
 , we&rsquo;d love to hear from you!
 
</div>

Backend Engineer Python - AI

Job Summary We are hiring a QA Engineer to support the testing of AI-driven platforms. You will focus onensuring the functional and qualitative reliability of features, while also supporting modelvalidation, data quality checks, and user experience assurance across AI-powered interfaces.Key Responsibilities <ul><li>Write and execute test cases to validate features, APIs, and system integrations.</li></ul><ul><li>Perform manual and exploratory testing of AI model outputs and user workflows.</li></ul><ul><li>Validate training data quality, edge cases, and model-generated content.</li></ul><ul><li>Log and manage defects with clear documentation and tracking.</li></ul><ul><li>Collaborate with ML and automation teams to define acceptance criteria for AI features.</li></ul><ul><li>Contribute to regression cycles and final release validation.</li></ul>Required Skills &amp; Qualifications <ul><li>3+ years of experience in QA or software testing.</li></ul><ul><li>Strong understanding of Agile and QA processes.</li></ul><ul><li>Experience in test case management (TestRail, Zephyr) and bug tracking tools (JIRA,</li></ul>Azure DevOps).<ul><li>Good knowledge of web and API testing, with exposure to tools like Postman.</li></ul><ul><li>Excellent attention to detail and analytical skills.</li></ul>[Optional but desirable]: Understanding of AI/ML concepts, data quality assurance, or testing outputs from LLM, computer vision, or NLP models.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Microservices: 5 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>Application Deadline: 25/08/2025 Expected Start Date: 01/09/2025

QA Engineer

Open Innovation AI

<div>
 
 
 Company Description
 
 
 
 
 
 
 Open Innovation AI is a global technology company that specializes in developing advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks efficiently across diverse infrastructures. The platform is hardware-agnostic, optimized for various GPUs and accelerators hardware, and facilitates seamless integration and scalability for enterprise AI applications. Open Innovation AI focuses on optimizing and simplifying AI workload management and making AI technologies accessible to organizations of all sizes. With its innovative solutions, companies can reduce operational costs, accelerate time to value, and maximize their return on investment, ensuring that their AI strategies contribute directly to enhanced business outcomes.
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 Are you passionate about building robust, scalable infrastructure that powers machine learning at scale? Join our team as a Senior Software Engineer &ndash; ML Infrastructure and take part in developing high-performance systems that enable the training, deployment, and monitoring of cutting-edge ML models. From building datasets to supporting production workloads, your work will be critical to our AI capabilities.
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Design and build services and infrastructure for training and fine-tuning large neural networks
 </li>
 <li>
 Develop tools for managing datasets, ensuring quality, consistency, and reproducibility
 </li>
 <li>
 Implement scalable, automated deployment systems for complex ML models
 </li>
 <li>
 Drive the full software development lifecycle&mdash;from design and implementation to CI/CD and monitoring
 </li>
 <li>
 Collaborate closely with ML engineers, data scientists, and platform teams to align infrastructure with business goals
 </li>
 <li>
 Write clean, maintainable, and well-tested code to ensure long-term sustainability
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 5+ years of professional software development experience
 </li>
 <li>
 
 Strong Python backend development skills (Most Critical)
 
 </li>
 <li>
 Solid understanding of Linux systems and networking fundamentals
 </li>
 <li>
 Deep knowledge of object-oriented programming, design patterns, algorithms, and data structures
 </li>
 <li>
 Hands-on experience with cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Proficiency with containerization and orchestration technologies like Docker, Kubernetes, or OpenShift
 </li>
 <li>
 Familiarity with CI/CD tools such as GitLab and ArgoCD
 </li>
 <li>
 Experience monitoring production systems using metrics, logging, and alerting tools
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field
 </li>
 </ul>
</div>

Senior Software Engineer

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