Senior MLOps Technical Lead

About the role

The team is seeking an AI/ML Engineer to build and operationalize AI solutions across RAG, agentic workflows, knowledge graphs, and machine learning. The role is hands-on and spans experimentation, backend development, deployment, evaluation, and production support.

What you'll do

• Design and build RAG and agentic AI solutions from prototype through production
• Develop AI workflows using Python, LangGraph, LangChain, or comparable frameworks
• Build backend services and APIs using FastAPI, REST APIs, and containerized deployment patterns
• Develop retrieval pipelines covering ingestion, embeddings, indexing, retrieval, reranking, grounding, and citations
• Support GraphRAG and knowledge graph use cases that combine structured and unstructured information

What you need

• 3–6 yrs of experience
• MLOps
• Machine learning
• Python
• Azure
• SQL
• LLMs
• Any graduate

Good to have

• Databricks
• ETL
• FastAPI
• REST APIs
• CI/CD
• Docker