Manager-Data & ML Engg

About the role

The ideal candidate will have 7+ years strong hands-on expertise in AI Engineering, GenAI, RAG, Agentic AI, MLOps, LLMOps, AI Governance, and Observability, along with working knowledge of Data Engineering, Power Platform, Data Science, and DevOps practices.

What you'll do

• Lead the design, development, deployment, and operationalization of AI, Generative AI, RAG and Agentic AI solutions
• Define and execute enterprise ModelOps, MLOps, and LLMOps strategies across AI platforms
• Establish governance, monitoring, observability, and support frameworks for AI applications and models
• Drive AI platform modernization, innovation, and continuous improvement initiatives
• Deploy, monitor, evaluate, and optimize ML and GenAI models

What you need

• 7–13 yrs of experience
• Machine learning
• SQL
• LLMs
• MLOps
• Python
• Prompt engineering
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• NLP
• ETL
• AWS
• Databricks
• Spark
• Kafka