Ai Ml Engineer

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.
• Strong hands-on experience in Python and Machine Learning.
• Practical experience with Azure Machine Learning, Azure OpenAI, and Azure AI Search.
• Strong 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.
• Good understanding of MLOps/LLMOps, CI/CD, model monitoring, and versioning.