Overview

We are looking for 6+ years of hands-on experience in Generative AI, Data Science, Machine Learning, and MLOps in Hyderabad, Bangalore, Navi Mumbai and Gurgaon. Must have verifiable experience moving AI/ML models beyond the prototype/sandbox phase into live enterprise systems and expertise in Databricks (proficiency with MLflow alongside model deployment and monitoring workflows on Databricks). Solid experience utilizing Databricks Spark, Lakehouse/Lakebase concepts, and Vector Search.

Responsibilities

• Design, build, and productionize large-scale machine learning, generative AI and agentic systems and models
• Implement robust MLOps workflows using MLflow to ensure model reliability, scalability, and performance tracking
• Take ownership of the full lifecycle of AI products, ensuring models move successfully from experimental stages to live production environments

Qualifications

• 6+ years of hands-on experience in Data Science, Machine Learning, Gen AI, and MLOps
• Deep technical expertise in MLOps and GenAI
• End-to-End Development: Design, build, and productionize large-scale machine learning and generative AI systems
• 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
• Track Record: Proven experience in productionizing models (must have moved models beyond the sandbox/prototype phase)

Nice to have

• Hands-on experience with Databricks Apps, AI/BI Dashboards, Genie, etc.
• Databricks Asset Bundle (DAB), Git, experience with large repo management (GitHub, ADO, etc.)