Cloud ML Ops Engineer – Azure | LLM Ops | RAG
TAT IT TechnolgiesUnited Arab Emirates11 hours ago
ContractEngineering, Information Technology
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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
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
- 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
Key Skills
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