Job Description: 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 Key Responsibilities: 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 Technical Requirements: Strong programming skills in Python Hands on experience with Generative AI LLMs RAG embeddings vector search LangChain LangGraph LlamaIndex Mandatory experience in Azure Databricks PySpark Spark Experience with Azure OpenAI Azure AI Studio MLflow model serving MLOps Understanding of Transformers NLP prompt engineering Exposure to REST APIs FastAPI Flask for deployment Additional Responsibilities: Experience with Databricks MosaicML Vector Search Knowledge of Docker Kubernetes Familiarity with CI CD pipelines Experience in building end to end AI applications Preferred Skills: Technology->AI Hyperscalers->Azure Agentic AI Services->Azure NLP,Technology->data science->Natural Language Processing,Technology->data science->PYTHON,Technology->OpenSystem->Python - OpenSystem->Python