Job Description

The ideal candidate possesses deep technical expertise in MLOps and GenAI. Work Location: Hyderabad, Bangalore, Mumbai, Delhi, Gurgaon. Work Mode: Work From Office 5 days a week End-to-End Development: Design, build, and productionize large-scale machine learning, generative AI and agentic systems and models. Operational Excellence: Implement robust MLOps workflows using MLflow to ensure model reliability, scalability, and performance tracking. Production Deployment: Take ownership of the full lifecycle of AI products, ensuring models move successfully from experimental stages to live production environments. Experience: 4+ years of hands-on experience in Data Science, Machine Learning, GenAI, and MLOps. Track Record: Proven experience productionizing models (must have moved models beyond the sandbox/prototype phase). Technical Stack: Required: Expert-level proficiency with MLflow and model deployment and monitoring on Databricks. Required: Experience with Databricks Spark, Lakebase, Vector Search. Required: Experience with at least one agent development framework like Langchain, Langgraph, DSPy etc. Good to have: Hands on experience with Databricks Apps, AI/BI Dashboards, Genie etc. Good to have: Databricks Asset Bundle (DAB), Git, experience with large repo management (GitHub, ADO etc.)