ai ml engineer

Yokogawa

<div>
 
 Not just a job, but a career
 
 
 
 Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
 
 
 Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
 
 
 
 About The Team
 
 
 
 Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
 
 
 
 Job Purpose
 
 
 
 The AI/ML Process Engineer supports the design and delivery of AI/ML-based process solutions and contributes to AI-driven operational improvement across Oil &amp; Gas, Petrochemical, and other process-industry domains. Working under the guidance of senior consultants, the role combines a solid process-operations foundation with growing AI/ML capability to help translate operational problem statements into practical, well-documented solutions. The role contributes to solution development, hands-on implementation, and pilot delivery, and supports the Digital Enterprise Business Unit / Solution Division in building capabilities and supporting growth across the YMA region.
 
 
 
 Key Responsibilities &amp; Accountabilities
 
 
 
 <ul>
 <li>
 Technical Analysis &amp; Solution Support
 </li>
 <li>
 Support technical analysis leveraging AI/ML and Digital Twin technology, including data gathering and gap analysis, to help identify opportunities for resolving customers' process problems.
 </li>
 <li>
 Contribute to solution designs and help develop detailed design specifications for AI solutions under the direction of senior consultants.
 </li>
 <li>
 Help capture functional requirements through client interviews, documentation analysis, and workflow / process mapping.
 </li>
 <li>
 Provide input to effort estimates for implementing AI solutions, drawing on technical guidance from senior team members.
 </li>
 <li>
 Business Case &amp; Application Support
 </li>
 <li>
 Support the development of business cases for focused AI applications and assist with their implementation within the assigned process industry / application.
 </li>
 <li>
 Assist senior consultants in advising customers on suitable AI/ML solutions, and support solution design and demonstration activities.
 </li>
 <li>
 Support the preparation of Feasibility Study / Business Case reports that help customers with FID / budgeting approvals.
 </li>
 <li>
 Client Engagement &amp; Relationship Management
 </li>
 <li>
 Engage with customers alongside senior consultants to understand expectations and help ensure they are met through AI/ML solutions.
 </li>
 <li>
 Contribute to the technical approach for AI implementation, helping integrate simulation / Digital Twin and, where applicable, APC/RTO technologies.
 </li>
 <li>
 Help develop solutions that resolve customer process problems and support business growth in the assigned technical area(s).
 </li>
 <li>
 Assist existing customers in problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.
 </li>
 <li>
 Project Delivery &amp; Quality Assurance
 </li>
 <li>
 Deliver assigned technical tasks and deliverables across the lifecycle of solution-development projects, under the guidance of senior consultants.
 </li>
 <li>
 Help ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.
 </li>
 <li>
 Apply AI best-practice approaches, standards, and methods appropriately throughout delivery.
 </li>
 <li>
 Participate actively as a member of technical project teams, building and maintaining effective working relationships.
 </li>
 <li>
 Knowledge Sharing, Training &amp; Enablement
 </li>
 <li>
 Support Smart Manufacturing / Digital Transformation (SM/DX) training efforts by providing input, documenting requirements, and supporting the design and delivery of AI-related training programs.
 </li>
 <li>
 Sales Collaboration &amp; Growth
 </li>
 <li>
 Work with sales personnel to help position solutions and support opportunity development.
 
 
 </li>
 </ul>
 
 Qualification And Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s in chemical engineering (or a related engineering discipline) preferred, with a minimum of 7-10 years of industrial process experience in process operations, engineering, or related software/automation work (APC/RTO exposure an advantage).
 </li>
 <li>
 Some hands-on experience with AI/ML applications in an industrial setting (as part of the experience above); a willingness to deepen AI/ML skills on the job is essential, and exposure to AI for process control is an advantage.
 </li>
 <li>
 Working knowledge of AI/ML methods and the model lifecycle, with awareness of best-practice deployment approaches.
 </li>
 <li>
 Strong problem-solving skills with an emphasis on solution development.
 </li>
 <li>
 Work location: Yokogawa Global AI CoE Centre, United Arab Emirates (UAE).
 </li>
 <li>
 Willing and able to travel throughout the YMA region and globally as required.
 
 
 </li>
 </ul>
 
 Competencies &amp; Skills
 
 
 
 <ul>
 <li>
 Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), data visualization, manufacturing quality and efficiency, SCADA, automated decision and control, workflow, database applications, and scheduling.
 </li>
 <li>
 Working knowledge and implementation experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.
 </li>
 <li>
 Awareness of, or working knowledge of, Python, R, and common Machine Learning frameworks is an added value.
 </li>
 <li>
 Strong knowledge of IIoT integration concepts and architectures.
 </li>
 <li>
 Up-to-date awareness of the latest AI and Digital Twin market trends.
 </li>
 <li>
 Knowledge of the Oil &amp; Gas, Petrochemical, or specialty chemicals domains is a plus.
 </li>
 <li>
 Strong communicator and collaborative team player, comfortable working with colleagues and customer stakeholders.
 </li>
 <li>
 Strong problem-solving orientation with a focus on practical solution development.
 
 
 </li>
 </ul>
 &ldquo;All appointments are subject to the successful completion of applicable background verification checks.&rdquo;
 
 
 Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
 
 
 Are you being referred to one of our roles? If so, ask your connection at Yokogawa
 
 
 about our Employee Referral process!
</div>

AI/ML Process Engineer

<div>Not just a job, but a career
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
About the Team 
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
Job Purpose
The AI/ML Process Engineer supports the design and delivery of AI/ML-based process solutions and contributes to AI-driven operational improvement across Oil &amp; Gas, Petrochemical, and other process-industry domains. Working under the guidance of senior consultants, the role combines a solid process-operations foundation with growing AI/ML capability to help translate operational problem statements into practical, well-documented solutions. The role contributes to solution development, hands-on implementation, and pilot delivery, and supports the Digital Enterprise Business Unit / Solution Division in building capabilities and supporting growth across the YMA region.
Key Responsibilities &amp; Accountabilities
1. Technical Analysis &amp; Solution Support<ul><li>
Support technical analysis leveraging AI/ML and Digital Twin technology, including data gathering and gap analysis, to help identify opportunities for resolving customers' process problems.</li><li>
Contribute to solution designs and help develop detailed design specifications for AI solutions under the direction of senior consultants.</li><li>
Help capture functional requirements through client interviews, documentation analysis, and workflow / process mapping.</li><li>
Provide input to effort estimates for implementing AI solutions, drawing on technical guidance from senior team members.</li></ul>
2. Business Case &amp; Application Support<ul><li>
Support the development of business cases for focused AI applications and assist with their implementation within the assigned process industry / application.</li><li>
Assist senior consultants in advising customers on suitable AI/ML solutions, and support solution design and demonstration activities.</li><li>
Support the preparation of Feasibility Study / Business Case reports that help customers with FID / budgeting approvals.</li></ul>
3. Client Engagement &amp; Relationship Management<ul><li>
Engage with customers alongside senior consultants to understand expectations and help ensure they are met through AI/ML solutions.</li><li>
Contribute to the technical approach for AI implementation, helping integrate simulation / Digital Twin and, where applicable, APC/RTO technologies.</li><li>
Help develop solutions that resolve customer process problems and support business growth in the assigned technical area(s).</li><li>
Assist existing customers in problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.</li></ul>
4. Project Delivery &amp; Quality Assurance<ul><li>
Deliver assigned technical tasks and deliverables across the lifecycle of solution-development projects, under the guidance of senior consultants.</li><li>
Help ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.</li><li>
Apply AI best-practice approaches, standards, and methods appropriately throughout delivery.</li><li>
Participate actively as a member of technical project teams, building and maintaining effective working relationships.</li></ul>
5. Knowledge Sharing, Training &amp; Enablement<ul><li>
Support Smart Manufacturing / Digital Transformation (SM/DX) training efforts by providing input, documenting requirements, and supporting the design and delivery of AI-related training programs.</li></ul>
6. Sales Collaboration &amp; Growth<ul><li>
Work with sales personnel to help position solutions and support opportunity development.</li></ul>
Qualification and Experience:<ul><li>
Bachelor&rsquo;s or master&rsquo;s in chemical engineering (or a related engineering discipline) preferred, with a minimum of 7-10 years of industrial process experience in process operations, engineering, or related software/automation work (APC/RTO exposure an advantage).</li><li>
Some hands-on experience with AI/ML applications in an industrial setting (as part of the experience above); a willingness to deepen AI/ML skills on the job is essential, and exposure to AI for process control is an advantage.</li><li>
Working knowledge of AI/ML methods and the model lifecycle, with awareness of best-practice deployment approaches.</li><li>
Strong problem-solving skills with an emphasis on solution development.</li><li>
Work location: Yokogawa Global AI CoE Centre, United Arab Emirates (UAE).</li><li>
Willing and able to travel throughout the YMA region and globally as required.</li></ul>
Competencies &amp; Skills
<ul><li>Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), data visualization, manufacturing quality and efficiency, SCADA, automated decision and control, workflow, database applications, and scheduling.</li><li>
Working knowledge and implementation experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.</li><li>
Awareness of, or working knowledge of, Python, R, and common Machine Learning frameworks is an added value.</li><li>
Strong knowledge of IIoT integration concepts and architectures.</li><li>
Up-to-date awareness of the latest AI and Digital Twin market trends.</li><li>
Knowledge of the Oil &amp; Gas, Petrochemical, or specialty chemicals domains is a plus.</li><li>
Strong communicator and collaborative team player, comfortable working with colleagues and customer stakeholders.</li><li>
Strong problem-solving orientation with a focus on practical solution development.</li></ul>
&ldquo;All appointments are subject to the successful completion of applicable background verification checks.&rdquo;
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
Are you being referred to one of our roles? If so, ask your connection at Yokogawa 
about our Employee Referral process!</div>

Klanik

<div>
 
 🚀
 
 Hiring: AI Engineer
 
 
 
 
 
 
 📍
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 We are looking for an experienced
 
 AI Engineer
 
 to design, develop, and deploy scalable AI solutions for enterprise applications. This role combines AI/ML engineering, data engineering, and modern software development to build intelligent, production-ready systems powered by large language models and advanced AI technologies.
 
 
 
 
 
 🔹
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Strong data-engineering foundation &mdash; data pipelines, ETL / ELT &amp; data modelling
 
 
 &bull; Big-data &amp; streaming (Spark, Kafka, Airflow); data lakehouse/warehouse (Databricks, Snowflake)
 
 
 &bull; Python (FastAPI), Node.js &bull; Agentic AI systems (LLMs, Agents, Tool Calling, Multi-Agent Orchestration)
 
 
 &bull; RAG, Knowledge Graphs &amp; Vector Databases (Qdrant, Milvus, FAISS)
 
 
 &bull; AI workflow orchestration &amp; event-driven architectures
 
 
 &bull; AI/ML model deployment &amp; inference optimization
 
 
 &bull; REST APIs, microservices &amp; distributed systems
 
 
 &bull; Integration of AI services with enterprise applications and data platforms
 
 
 
 
 
 🔹
 
 
 Languages
 
 :
 
 
 
 &middot; English
 
 
 . Excellent communication, verbal and written skills.
 
 
 
 
 
 Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you !!!
 
 
 
 
 
 
 
 About KLANIK:
 
 
 
 
 Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 14 years. We support our clients with the creation and development of their new products and services around 4 main business lines:
 
 
 
 
 
 ➜ Information Technology and Systems (IT &amp; IS)
 
 
 ➜ DevOps and Cloud
 
 
 ➜ Big Data and AI
 
 
 ➜ Cybersecurity
 
 
 
 
 
 Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, Middle East and the Americas.
 
 
 Our Team is dedicated to offer 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!
 
 
 
 
 
 
 
 Being a &ldquo;KLANIK&rdquo;
 
 
 
 
 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 valued for your ideas. It&rsquo;s being part of a community of experts that have a passion for and stay abreast of the latest technologies.
 
 
 You feel like a technology pioneer, full of creative ideas, supported by a strong know how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 
 
 
 
 
 
 
 Our culture is our pride
 
 
 
 
 
 
 
 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.
 
 
 Our community motto is that people give the best of them when they feel listened, 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.
 
 
 Being part of the Klanik community means relying on each other, 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.
 
</div>

AI Engineer

HTC Global Services

<div>
 
 Exciting Opportunity Alert! 🌟 HTC Global Services is hiring
 
 AI Engineer
 
 for an 1-year extendable contract in Abu Dhabi, UAE (Onsite).
 
 
 
 
 
 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.
 
 
 
 
 
 
 
 About the Role:
 
 
 
 
 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.
 
 
 
 
 Requirements:
 
 
 
 <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>
 
 
 
 Required Skills:
 
 
 
 <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>
 
 
 
 
 Interested candidates please do share your updated CV to mubeenakamal.basha@htcinc.com mentioning your Current CTC, expected CTC and notice period details.
 
 
 
 
 
 #HTCGlobalServices #ITJobs #hiring #lookingforjob #careers #jobs #immediatejoiner #recruitment #technology #jobseekers #interview #lookingforjobchange #newjob #AIEngineer #LLM #RAG #MCP #fastMCP #Python #LangGraph #LangChain #AzureAI
 
</div>

Dizzaract FZ LLC

01. ABOUT THE COMPANYDizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana, 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 theirorigin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.02. ABOUT THE ROLEWe&rsquo;re looking for a Senior AI Engineer to design and ship production AI systems powering GAMED.This role focuses on applied AI &mdash; not research for the sake of research. You&rsquo;ll work on recommendation systems, AI-driven moderation, retrieval systems, agentic workflows, ranking systems, and player-facing AI features integrated directly into the product ecosystem. You&rsquo;ll collaborate closely with Backend, Product, and Infrastructure teams to build scalable AI systems used by real users.03. WHO YOU ARE<ul><li>You think pragmatically about AI products and infrastructure.</li><li>You care about reliability, evaluation, and production quality.</li><li>You&rsquo;re comfortable building systems from experimentation to deployment.</li><li>You understand both model quality and infrastructure cost.</li><li>You enjoy solving applied ML problems in live environments.</li></ul>04. RESPONSIBILITIES<ul><li>Design and deploy AI-powered product features.</li><li>Build recommendation, ranking, moderation, and agent systems.</li><li>Develop and optimize RAG pipelines.</li><li>Work with modern LLM ecosystems and open-weight models.</li><li>Design evaluation frameworks and testing pipelines.</li><li>Optimize inference, retrieval, and deployment performance.</li><li>Collaborate closely with backend and infrastructure teams.</li></ul>05. REQUIREMENTS<ul><li>5+ years in engineering.</li><li>3+ years building applied ML/AI systems in production.</li><li>Strong Python expertise.</li><li>Experience with PyTorch or JAX.</li><li>Experience with LLMs, RAG, and agent systems.</li><li>Experience with vector databases and retrieval systems.</li><li>Understanding of model evaluation and deployment strategies.</li><li>Experience balancing quality, latency, and infrastructure cost.</li></ul>06. NICE TO HAVE<ul><li>RLHF / DPO / PPO experience.</li><li>Multi-agent systems.</li><li>Recommender systems at scale.</li><li>MLOps tooling.</li><li>AI safety / red-teaming experience.</li></ul>07. WHAT WE OFFER<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, gaming platforms, and digital asset economies.</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're working on and influence product direction.</li><li>A diverse, open-minded team where ideas are genuinely heard.</li></ul>Work Location: In person

Senior AI Engineer

Discovered MENA

<div>
 
 
 
 Applied AI Engineer &ndash; Abu Dhabi
 
 
 
 
 
 
 Discover the Opportunity
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 
 
 Discover the Role
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 
 
 Discover the Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy production-grade AI applications powered by large language models, including assistants, copilots, and automation tools
 </li>
 <li>
 Build advanced agent-based systems capable of multi-step reasoning, planning, and tool integration
 </li>
 <li>
 Develop end-to-end retrieval-augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation
 </li>
 <li>
 Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms
 </li>
 <li>
 Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality
 </li>
 <li>
 Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics
 </li>
 <li>
 Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities
 </li>
 <li>
 Collaborate with cross-functional teams to deliver reliable, high-performance AI systems
 </li>
 </ul>
 
 
 
 
 
 
 Discover the Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in
 
 Applied AI
 
 , 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>
 <li>
 Proven experience building and deploying AI/ML systems in production environments
 </li>
 <li>
 Hands-on experience working with large language models and deploying LLM-powered applications
 </li>
 <li>
 Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour
 </li>
 <li>
 Experience designing scalable, reliable, and high-performance systems
 </li>
 </ul>
 
 
 
 
 
 
 Preferred experience:
 
 
 
 <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>
 <li>
 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>
 
 
 
</div>

Applied AI Engineer

Atain

<div>
 
 
 Job Title: AI Engineer &ndash; Azure Databricks | Agentic AI | MCP Servers
 
 
 
 
 Experience:
 
 7&ndash;12 Years
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 
 Job Summary
 
 
 
 
 
 
 We are looking for an experienced
 
 AI Engineer
 
 with strong expertise in
 
 Azure Databricks, Agentic AI, and Model Context Protocol (MCP) Servers
 
 to design and develop next-generation AI solutions for enterprise applications. The ideal candidate will have hands-on experience in building LLM-powered applications, multi-agent systems, and scalable AI data pipelines. Experience in the
 
 Revenue Management domain
 
 is a strong advantage.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI solutions using
 
 Azure Databricks
 
 , Python, and modern AI frameworks.
 </li>
 <li>
 Build and orchestrate
 
 Agentic AI
 
 applications using multi-agent architectures and autonomous workflows.
 </li>
 <li>
 Develop, integrate, and manage
 
 Model Context Protocol (MCP) Servers
 
 for secure tool and data access.
 </li>
 <li>
 Design and implement
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines for enterprise AI applications.
 </li>
 <li>
 Fine-tune, evaluate, and optimize Large Language Models (LLMs) for business use cases.
 </li>
 <li>
 Build scalable data pipelines using
 
 PySpark
 
 , SQL, and Delta Lake on Azure Databricks.
 </li>
 <li>
 Integrate AI applications with enterprise systems, APIs, and cloud services.
 </li>
 <li>
 Collaborate with data engineers, product teams, and business stakeholders to deliver AI-driven solutions.
 </li>
 <li>
 Monitor AI model performance, ensure governance, security, and responsible AI practices.
 </li>
 <li>
 Stay updated with emerging AI technologies and recommend innovative solutions.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 7&ndash;12 years of overall IT experience with strong AI/ML development expertise.
 </li>
 <li>
 Hands-on experience with
 
 Azure Databricks
 
 ,
 
 PySpark
 
 , Python, and SQL.
 </li>
 <li>
 Strong experience building
 
 Agentic AI
 
 solutions and multi-agent orchestration.
 </li>
 <li>
 Experience developing and deploying
 
 MCP Servers
 
 .
 </li>
 <li>
 Expertise in
 
 Large Language Models (LLMs)
 
 , Prompt Engineering, RAG, Vector Databases, and AI orchestration frameworks.
 </li>
 <li>
 Experience with
 
 Azure AI Services
 
 , Azure OpenAI, or similar cloud AI platforms.
 </li>
 <li>
 Knowledge of REST APIs, microservices, and cloud-native architectures.
 </li>
 <li>
 Strong problem-solving skills and ability to work in Agile environments.
 </li>
 </ul>
 
 
 
 
 
 About Atain:
 
 
 
 
 
 
 
 (http://www.atain.com)
 
 
 
 Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com
 
 
 
 
 
 Atain is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.
 
 
 
 
 
 It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 
</div>

Artificial Intelligence Engineer

Explore 165+ Ai ml engineer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

165 ai ml engineer jobs In Abu Dhabi

AI/ML Process Engineer

AI/ML Process Engineer

AI Engineer

AI Engineer

Senior AI Engineer

Applied AI Engineer

Artificial Intelligence Engineer