Azure AI/ML Engineer

Key Responsibilities

• Build and deploy AI/ML solutions using Microsoft Azure Machine Learning and Azure AI services
• Develop Generative AI applications using Azure OpenAI Service
• Design and implement RAG (Retrieval-Augmented Generation) pipelines
• Work with vector databases, embeddings, semantic search, and prompt engineering
• Train, fine-tune, evaluate, and monitor ML/LLM models
• Build scalable ML pipelines using MLOps practices and CI/CD
• Integrate AI services with APIs, microservices, and enterprise applications
• Deploy models using Docker, Kubernetes, AKS, or Azure App Services
• Collaborate with data engineers, architects, and business stakeholders
• Ensure governance, observability, security, and compliance for AI workloads