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Cloud ML Ops Engineer – Azure | LLM Ops | RAG

Job in Abu Dhabi, UAE/Dubai
Listing for: TAT IT Technolgies
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below

We have an urgent requirement for Cloud ML Ops Engineer – Azure | LLM Ops | RAG is required for our banking client in Abu Dhabi, UAE.

Strong experience Azure ML Ops (Production) – Model deployment, versioning, monitoring on Azure ML is the MUST.

Strong experience on LLM Ops with Azure OpenAI – Real production experience managing LLM workloads is the MUST.

Strong experience on RAG Implementation – Hands‑on RAG using Azure AI Search + embeddings + LLMs is the MUST.

Experience on CI/CD on Azure – ML/LLM CI/CD with Azure Functions is MUST.

We are seeking a skilled Cloud ML Ops Engineer with strong expertise in Azure-based ML/LLM Ops, including OpenAI and Retrieval‑Augmented Generation (RAG) workloads. The role focuses on building, deploying, and managing scalable, reliable, and cost‑optimized ML and LLM pipelines across Azure cloud services.

Key Responsibilities
  • Design, implement, and manage end‑to‑end ML/LLM Ops pipelines on Microsoft Azure
  • Deploy, version, and monitor ML models and Large Language Models (LLMs), including Azure OpenAI workloads
  • Build and maintain CI/CD pipelines for ML and LLM applications
  • Implement and support RAG (Retrieval‑Augmented Generation) architectures using Azure AI Search and OpenAI models
  • Ensure reliability, scalability, performance, and cost optimization of ML/LLM systems
  • Set up monitoring, logging, and observability for production ML/LLM pipelines
  • Collaborate with data scientists, engineers, and product teams to operationalize AI solutions
  • Ensure security, compliance, and best practices across Azure cloud environments
Mandatory Technical Skills
  • Strong hands‑on experience with Azure ML
  • Experience deploying and managing Azure OpenAI / LLM Ops
  • Proven experience with RAG pipelines and Azure AI Search
  • Experience with CI/CD for ML/LLM workloads
  • Hands‑on experience with:
    • Azure Functions
    • Azure Container Apps
    • Azure AI Search
  • Model deployment, versioning, monitoring, and performance tuning
  • Observability tools and practices for ML systems
Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Engineering and Information Technology

Industries

Technology, Information and Internet

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