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.

- Valuable to have: Databricks Asset Bundle (DAB), Git, experience with large repo management (Git Hub, ADO etc.)

📌 Senior Data Scientist (India)
🏢 Koantek
📍 India