We are looking for a Python ML Engineer with strong expertise in Generative AI and Azure Databricks to design, build, and deploy scalable AI solutions. The ideal candidate should have hands-on experience with LLMs, RAG pipelines, and Azure-based AI ecosystems, along with a solid foundation in machine learning and data engineering. Design and develop Generative AI solutions using LLMs (OpenAI, Azure OpenAI, Hugging Face) Build and optimize RAG (Retrieval-Augmented Generation) pipelines Implement frameworks like LangChain, LangGraph, or LlamaIndex Develop and maintain ML models using Python ecosystem Work extensively on Azure Databricks for: Data processing (PySpark) Model training & experimentation (MLflow) Deployment & monitoring Build scalable data pipelines on Databricks Lakehouse (Delta Lake) Integrate vector databases / search systems (Azure AI Search, Pinecone, FAISS, etc.) Deploy ML/GenAI solutions using MLOps best practices Collaborate with cross-functional teams for production-grade AI solutions Experience with Databricks MosaicML / Vector Search Knowledge of Docker, Kubernetes Familiarity with CI/CD pipelines Experience in building end-to-end AI applications