Role & responsibilities
Build, train, and deploy ML models using Azure Machine Learning.
Develop GenAI applications using Azure OpenAI and Azure AI Foundry.
Build RAG solutions using Azure AI Search, embeddings, and vector stores.
Work on prompt engineering, LLM fine-tuning, and model evaluation.
Develop production-ready Python APIs using FastAPI/Azure Functions.
Implement MLOps/LLMOps, CI/CD, model versioning, and monitoring.
Integrate AI solutions with Databricks, ADF, Fabric, Blob Storage/ADLS.
Work with Azure infrastructure, Key Vault, identity/RBAC, compute, and networking.

Preferred candidate profile
5+ years of experience in AI/ML development.
Solid hands-on experience in Python and Machine Learning.




Practical experience with Azure Machine Learning, Azure OpenAI, and Azure AI Search.
Solid experience building GenAI and RAG applications.
Hands-on knowledge of LLMs, prompt engineering, embeddings, and vector databases.
Experience with LangChain, Semantic Kernel, LlamaIndex, or Hugging Face.
Knowledge of LLM fine-tuning using LoRA/PEFT.
Experience deploying models/APIs using FastAPI, Azure Functions, App Service, or AKS.
Valuable understanding of MLOps/LLMOps, CI/CD, model monitoring, and versioning.

📌 Ai Ml Engineer Indore
🏢 Tata Consultancy Services
📍 Indore