Python ML Engineer

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-Data science->Machine Learning,Technology->AI-Data science->PYTHON Experience: 0.00-0.00 Years