deep learning engineer

HTC Global Services

<div>
 <p>
  Exciting Opportunity Alert! 🌟 HTC Global Services is hiring
  <strong>
   AI Engineer
  </strong>
  for an 1-year extendable contract in Abu Dhabi, UAE (Onsite).
 </p>
 <p>
  <br/>
 </p>
 <p>
  HTC Global Services - a leading CMM level 5 global provider of innovative IT and Business Process Services and Solutions since 1990 with headquarters in Troy, Michigan, USA.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About the Role:
   </u>
  </strong>
 </p>
 <p>
  We are seeking an AI Engineer (Innovation) with 6+ years of experience with dtrong programming experience in Python. Expertise in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on experience with OpenAI, Azure OpenAI, LangChain, Semantic Kernel, AutoGen, or similar Agentic AI frameworks.
 </p>
 <p>
  <strong>
   <u>
    Requirements:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Design and develop AI/ML and Generative AI solutions.
  </li>
  <li>
   Build predictive models for demand forecasting, revenue optimization, dynamic pricing, ancillary revenue growth, and passenger behavior analysis.
  </li>
  <li>
   Develop and deploy LLM-based applications using RAG, Vector Databases, Prompt Engineering, and Agentic AI frameworks.
  </li>
  <li>
   Build intelligent recommendation and personalization engines.
  </li>
  <li>
   Develop scalable AI pipelines and integrate AI models with enterprise applications and operational systems.
  </li>
  <li>
   Deploy and manage AI solutions on Azure cloud platforms.
  </li>
  <li>
   Collaborate with Data Engineers, Data Scientists, Product Owners, and Business Stakeholders to translate business requirements into AI solutions.
  </li>
  <li>
   Ensure model performance, scalability, security, governance, and compliance standards.
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Required Skills:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Experience building RAG architectures and Vector Databases.
  </li>
  <li>
   Strong knowledge of LLMs, Prompt Engineering, Fine-tuning, and AI Evaluation frameworks.
  </li>
  <li>
   Experience with Azure AI Services, Azure Databricks, Azure Machine Learning, Azure Data Factory, and Azure DevOps.
  </li>
  <li>
   Experience with MLOps, CI/CD, model deployment, monitoring, and governance.
  </li>
  <li>
   Knowledge of data engineering concepts, APIs, microservices, and event-driven architectures.
  </li>
  <li>
   Familiarity with SQL, Spark, and large-scale data processing.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Interested candidates please do share your updated CV to mubeenakamal.basha@htcinc.com mentioning your Current CTC, expected CTC and notice period details.
 </p>
 <p>
  <br/>
 </p>
 <p>
  #HTCGlobalServices #ITJobs #hiring #lookingforjob #careers #jobs #immediatejoiner #recruitment #technology #jobseekers #interview #lookingforjobchange #newjob #AIEngineer #LLM #RAG #MCP #fastMCP #Python #LangGraph #LangChain #AzureAI
 </p>
</div>


AI Engineer

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.</p><p>
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.</p><p>
As a Senior Full Stack AI Engineer, you will be the ultimate bridge between advanced data science and enterprise-scale software architecture. This role is designed for a rare breed of engineer: someone who possesses the deep mathematical and modeling background required to design advanced AI and Generative AI systems, paired with the full-stack infrastructure capabilities needed to deploy, containerize, scale, and monitor them across hybrid, cloud, and on-premise environments.</p><p>
Operating within complex client landscapes&mdash;such as premier banking and financial institutions (e.g., ADCB)&mdash;you will own the full engineering lifecycle of AI applications. You will design secure, highly performant systems, orchestrate massive data pipelines, optimize cloud spend, and establish robust MLOps practices that guarantee production stability.</p>
Key ResponsibilitiesEnd-to-End AI Architecture &amp; Full-Stack Design<ul><li>
Architect end-to-end, highly secure AI and Generative AI systems capable of running seamlessly across both secure on-premise data centers and public cloud infrastructures (Azure/AWS).</li><li>
Design, build, and optimize high-throughput, secure APIs to serve complex AI models and agentic workflows to consuming client applications.</li><li>
Seamlessly integrate proprietary cloud foundation models (GPT, Claude, Gemini) and fine-tuned open-source models into unified software ecosystems.</li></ul>
Deep Learning &amp; Advanced AI Engineering<ul><li>
Leverage a deep theoretical understanding of Transformers, PyTorch, and TensorFlow to implement, evaluate, and optimize deep learning models across NLP and Computer Vision domains.</li><li>
Design scalable knowledge retrieval frameworks using embedding models and enterprise-grade Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss).</li><li>
Build and evaluate robust systematic prompting frameworks and compile complex models using ONNX for optimized, low-latency production inference.</li></ul>
Infrastructure, MLOps &amp; FinOps<ul><li>
Own the containerization and scaling of AI services utilizing Docker and Kubernetes clusters across development and production environments.</li><li>
Build and automate robust MLOps continuous integration and deployment pipelines to track model lineage, versions, evaluations, and production drift.</li><li>
Implement strict FinOps practices to track, monitor, and radically optimize token usage, cloud compute consumption, and inferencing costs.</li><li>
Architect and optimize large-scale data processing systems using modern Big Data tools to feed raw information into AI training and embedding workflows.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
</i><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><br>
We need you to have:</p><p></p><ul><li>
Extensive experience designing, launching, and managing containerized AI/ML or data-intensive applications in highly regulated enterprise environments.</li><li>
A proven track record applying deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) fields.</li><li>
Practical experience implementing production-grade model monitoring frameworks and optimizing complex cloud/token expenditure.</li><li>
Deep operational command of Docker and enterprise Kubernetes infrastructure for running distributed AI applications.</li><li>
Expert-level knowledge of Azure (or alternative major clouds) alongside a strong architectural grasp of on-premise deployment constraints, data security, and network topologies.</li><li>
Strong proficiency in Big Data toolsets and modern API gateway designs.</li><li>
A rigorous, foundational grasp of transformer architectures, embedding mechanics, and deep learning implementations via PyTorch/TensorFlow.</li><li>
High proficiency across SQL, NoSQL, and Vector Database engines.</li><li>
&quot;Perfect-tier&quot; software engineering skills in Python and advanced data processing techniques.</li></ul><p></p><p>
It would also be great if you have:</p><p></p><ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a highly relevant quantitative discipline.</li><li>
Deep domain experience within banking, understanding strict data residency laws, financial compliance protocols, and legacy core banking interactions.</li><li>
Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern cloud MLOps suites (e.g., Azure AI Studio, Kubeflow).</li></ul><p></p><b><br>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul><p><i><br>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</i><br>
<br>
<i>At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</i></p></div>

Senior Full Stack Engineer

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.</p><p>
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.</p><p>
As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions. This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking.</p><p>
You will act as a technical pillar within the AI squad&mdash;collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines. This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges.</p>
Key ResponsibilitiesGenerative &amp; Agentic AI Engineering<ul><li>
Cognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task execution.</li><li>
Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies.</li><li>
Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior.</li></ul>
Deep Learning &amp; Model Optimization<ul><li>
Core Modeling &amp; Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains.</li><li>
Open-Source &amp; Cloud Integration: Evaluate and deploy both proprietary cloud models (e.g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost.</li><li>
Edge &amp; Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX.</li></ul>
Data &amp; MLOps Infrastructure<ul><li>
Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data.</li><li>
Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores.</li><li>
Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
</i><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><br>
We need you to have:</p><p></p><ul><li>
A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments.</li><li>
Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV).</li><li>
Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models.</li></ul>
AI, Modeling &amp; Frameworks<ul><li>
Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models.</li><li>
Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks.</li><li>
A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime.</li><li>
High proficiency in configuring and querying Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures.</li></ul>
Software Engineering &amp; Core Tools<ul><li>
Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture.</li><li>
Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.g., Pandas, NumPy, Polars, or PySpark)</li></ul><p></p><p>
It would also be great if you had:</p><br>
<ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field.</li><li>
Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e.g., familiarity with data privacy, compliance, and secure financial data models).</li><li>
Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction.</li></ul><br>
<b>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul><p><i><br>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</i><br>
<br>
<i>At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</i></p></div>

Senior AI Engineer

Klanik

<div>
 <br/>
 <p>
  🚀
  <strong>
   Hiring: Machine Learning Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍
  <strong>
   Location:
  </strong>
  Abu Dhabi, UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a talented
  <strong>
   Machine Learning Engineer
  </strong>
  to design, build, and deploy scalable machine learning models and AI solutions. This role combines model development, data engineering, and production deployment to deliver innovative, high-impact AI applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Model deployment using Docker, Kubernetes
 </p>
 <p>
  &bull; Model optimization (TensorRT, OpenVINO, ONNX, triton, sparsing, pruning)
 </p>
 <p>
  &bull; CI/CD pipelines for ML (Git, Jenkins, GitHub Actions)
 </p>
 <p>
  &bull; Integration with backend &amp; edge devices
 </p>
 <p>
  &bull; Performance tuning (latency, throughput, FPS)
 </p>
 <p>
  &bull; Monitoring model drift &amp; production performance
 </p>
 <p>
  &bull; Strong Python &amp; system design skills
 </p>
 <p>
  &bull; Experience with inference pipelines for video streams
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, AI, or a related field.
 </p>
 <p>
  Additional qualifications, such as certifications or publications in the field of machine learning, are a plus
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   <u>
    Years of Experience
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  5 to 9 years of experience
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   <u>
    Languages
   </u>
   :
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &middot; English
 </p>
 <p>
  . Excellent communication, verbal and written skills.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About KLANIK:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 10 years.
 </p>
 <p>
  We support our clients with the creation and development of their new products and services around 4 main business lines:
 </p>
 <p>
  <br/>
 </p>
 <p>
  ➜ Information Technology and Systems (IT &amp; IS)
 </p>
 <p>
  ➜ DevOps and Cloud
 </p>
 <p>
  ➜ Big Data and AI
 </p>
 <p>
  ➜ Cybersecurity
 </p>
 <p>
  <br/>
 </p>
 <p>
  Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, the Middle East, and the Americas. Our Team is dedicated to offering our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values. We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Being a &ldquo;KLANIK&rdquo;
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  That means being an out-of-the-box thinker, a precursor who is keen to create, innovate, and collaborate in an environment where you can enjoy being yourself and be valued for your ideas. It&rsquo;s being part of a community of experts who have a passion for and stay abreast of the latest technologies.Do you feel like a technology pioneer, full of creative ideas, supported by strong know-how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Our culture is our pride
   </u>
  </strong>
 </p>
 <p>
  At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect, and transparency are deeply fixed in our culture, alongside with the pride in a job well done.
 </p>
 <p>
  Our community motto is that people give the best of them when they feel listened to, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors.
 </p>
 <p>
  Being part of the Klanik community means relying on each other&rsquo;s, learning from each other&rsquo;s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 </p>
 <p>
  <br/>
 </p>
</div>


Machine Learning Engineer

Dizzaract FZ LLC

<p>01. ABOUT THE COMPANY</p><p><b>Dizzaract</b> is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana 2.0, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.</p><p>02. ABOUT THE ROLE</p><p><b>FAR Labs</b> is building FAR AI, a distributed inference network that turns idle GPU capacity into usable compute for developers, businesses, and AI products. Around this infrastructure, we build a wider ecosystem of products, payment tools, developer platforms, and internal systems that help prove and grow the network through real usage.</p><p>We&rsquo;re looking for an <b>AI Inference Infrastructure Engineer</b> to build the core engine powering this system &mdash; from low-level runtime to distributed orchestration. This is a deeply technical role focused on performance, efficiency, and control over hardware.</p><p>You will be working close to the metal, designing systems that operate at the limits of modern compute.</p><p>03. WHO YOU ARE</p><ul><li><b>Systems Engineer</b>: You have deep experience in systems programming and care about performance at every layer.</li><li><b>Performance Optimiser</b>: You understand how to extract maximum efficiency from hardware &mdash; not just make things work.</li><li><b>Infrastructure Builder</b>: You&rsquo;ve built or contributed to distributed systems where latency and throughput matter.</li><li><b>Low-Level Thinker: </b>You&rsquo;re comfortable working close to hardware &mdash; memory, kernels, execution pipelines.</li><li><b>Pragmatic Engineer: </b>You avoid unnecessary abstractions and focus on what actually improves performance.</li></ul><p>04. RESPONSIBILITIES</p><ul><li><b>Core Engine Development</b>: Design and implement low-level runtime systems (Rust/C) to manage model execution, memory allocation, and request batching across distributed compute.</li><li><b>Hardware-Aware Optimisation</b>: Develop and optimise tensor operations and custom kernels (CUDA, Triton) to maximise hardware utilisation.</li><li><b>Inference Performance</b>: Implement advanced inference techniques such as continuous batching, speculative decoding, and paged attention &mdash; tailored to our architecture.</li><li><b>Decentralised Orchestration: </b>Design routing and load balancing systems across geographically distributed nodes to ensure availability and efficiency.</li><li><b>Autonomous Infrastructure: </b>Build fully automated deployment and recovery systems &mdash; ensuring zero manual intervention and self-healing network behaviour.</li></ul><p>05. REQUIREMENTS</p><ul><li>Strong experience in systems programming (Go, Rust, or C/C++).</li><li>Proven experience working with performance-critical systems.</li><li>Deep understanding of GPU programming (CUDA, ROCm) and hardware-level optimisation.</li><li>Strong knowledge of deep learning architectures (Transformers, Mamba) and tensor execution.</li><li>Experience building distributed systems with high concurrency and low latency.</li><li>Ability to work close to the hardware and optimise execution pipelines.</li><li>Strong problem-solving skills and attention to performance bottlenecks.</li></ul><p>06. WHAT WE OFFER</p><ul><li>Real ownership and direct impact on a global AI infrastructure product</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team</li><li>Exposure to cutting-edge AI, distributed systems, and hardware-level optimisation</li><li>Competitive salary with performance-based incentives</li><li>24 days annual leave, plus public holidays</li><li>Health insurance</li><li>Modern office in Yas Creative Hub</li><li>Continuous learning through real-world problem solving &mdash; not just theory</li><li>The opportunity to shape what you&rsquo;re working on and influence product direction</li><li>A diverse, open-minded team where ideas are genuinely heard</li></ul><p>Work Location: In person</p>

AI Inference Infrastructure Engineer

Emirates Nuclear Energy

<div></div><div><div><div><div><div>Posting Date: 7 Jul 2026
</div></div></div></div><div><div><div><div>Requisition ID: 3823
</div></div></div></div><div><div><div><div>Location: HQ - Abu Dhabi
</div></div></div></div><div><div><div><div>Posting Status: Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
</div><div><p>We are seeking a versatile and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and machine learning, with the ability to design, build, and maintain data pipelines, as well as develop and deploy machine learning models. This role requires a deep understanding of data lakehouses, such as Databricks and Azure Fabric, and the ability to work collaboratively with cross-functional teams to deliver data-driven solutions.<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div><div>Key Responsibilities:
<br>
Data Engineering:
<br>
<ul><li>Design, build, and maintain scalable data pipelines and ETL processes.
</li><li>Work with large datasets and data lakehouses, including Databricks and Azure Fabric.
</li><li>Ensure data quality, integrity, and security across all data pipelines.
</li><li>Optimize data storage and retrieval processes for performance and efficiency.
</li></ul>Machine Learning Engineering:
<br>
<ul><li>Develop, implement, and optimize machine learning models and algorithms.
</li><li>Perform data analysis and model tuning to improve accuracy and performance.
</li><li>Deploy machine learning models into production environments.
</li><li>Monitor and maintain the performance of deployed models.
</li></ul>Collaboration:
<br>
<ul><li>Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
</li><li>Work closely with data scientists, analysts, and other stakeholders to ensure seamless integration of data and models.
</li></ul>Continuous Learning:
<br>
<ul><li>Stay up-to-date with the latest advancements in data engineering and machine learning.
</li><li>Participate in training and development opportunities to enhance skills and knowledge.<br>
</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><p>Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
</div><div><ul><li>5-10 years of experience in data engineering and machine learning.
</li><li>Proficiency in programming languages such as Python, R, or SQL.
</li><li>Experience with data lakehouses, particularly Databricks and Azure Fabric.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent communication and teamwork abilities.
</li><li>Ability to work independently and manage multiple projects simultaneously.</li></ul></div></div></div></div></div></div></div></div><p></p>

Data Engineer

Discovered MENA

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    Applied AI Engineer &ndash; Abu Dhabi
   </u>
  </strong>
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  <strong>
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    Discover the Opportunity
   </u>
  </strong>
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  We&rsquo;re partnering with a major enterprise in Abu Dhabi that is building next-generation AI capabilities to power large-scale, real-world systems.
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  This role sits within a central AI function responsible for developing and deploying advanced AI applications across multiple entities. The team is focused on leveraging cutting-edge technologies including large language models, retrieval systems, and agent-based workflows to deliver scalable, production-grade solutions.
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 </p>
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  This is a unique opportunity to work at the forefront of applied AI, contributing to the development of AI-driven systems that operate at an enterprise level.
 </p>
 <p>
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 </p>
 <p>
  <strong>
   <u>
    Discover the Role
   </u>
  </strong>
 </p>
 <p>
  As an Applied AI Engineer, you will design and deliver end-to-end AI-powered applications, working at the intersection of AI engineering, software development, and product delivery.
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  <br/>
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  You will take ownership of building robust, production-ready systems leveraging modern AI capabilities, translating complex requirements into scalable solutions. This role requires strong hands-on engineering expertise combined with a deep understanding of how to operationalise AI in real-world environments.
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 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Discover the Responsibilities
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Design and deploy production-grade AI applications powered by large language models, including assistants, copilots, and automation tools
  </li>
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   Build advanced agent-based systems capable of multi-step reasoning, planning, and tool integration
  </li>
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   Develop end-to-end retrieval-augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation
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   Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms
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   Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality
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   Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics
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   Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities
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   Collaborate with cross-functional teams to deliver reliable, high-performance AI systems
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Discover the Requirements
   </u>
  </strong>
 </p>
 <ul>
  <li>
   7+ years of experience in
   <strong>
    Applied AI
   </strong>
   , machine learning engineering, or software engineering roles
  </li>
  <li>
   Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimisation
  </li>
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   Proven experience building and deploying AI/ML systems in production environments
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   Hands-on experience working with large language models and deploying LLM-powered applications
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   Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour
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   Experience designing scalable, reliable, and high-performance systems
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   <u>
    Preferred experience:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Experience building RAG systems end-to-end, including retrieval pipelines and vector search
  </li>
  <li>
   Familiarity with agent-based frameworks such as LangChain, LangGraph, AutoGen, or similar
  </li>
  <li>
   Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection
  </li>
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   Exposure to conversational AI systems, including speech or real-time interaction pipelines
  </li>
  <li>
   Experience working with modern AI inference infrastructure and deployment environments
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Applied AI Engineer

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