Job Description
KRAFT HEINZ
Data, AI & Digital Innovation — India GCC
Group Lead, AI/ML Engineering
Location
Bangalore, India (India GCC)
Function
Data, AI & Digital Innovation — AI Engineering, ML Engineering & MLOps
Reports To
Jyoti Radhu — Director, Data, AI & Digital Innovation, GCC India
Key Partners
GenAI & ML leadership in Chicago and Toronto; offshore consulting partners
Role Summary
We are looking for a Group Lead to lead AI Engineering, ML Engineering, and MLOps from our India GCC in Bangalore. This leader will build and mentor the engineering team, establish the delivery framework, and own delivery of AI/ML solution and Platform .
How This Role Fits the Operating Model
1. Manage GCC deliverables across AI Engineering and ML Engineering. Single point of ownership for what the India GCC delivers across both disciplines — planning, execution, quality, and timelines.
2. Ensure AI & ML platform stability with GCC engineers and consulting partners. Keep the enterprise AI/ML platform stable and reliable,



using a combined workforce of GCC engineers and offshore consulting partners — with transparent accountability regardless of who does the work.
3. Partner with AI Engineering and ML Engineering leadership in North America. Operate as the GCC counterpart to leadership in Chicago and Toronto — aligned on priorities, patterns, and standards, with a regular operating rhythm in both directions.
Key Responsibilities
Lead AI Engineering, ML Engineering & MLOps from the GCC: own applied delivery of AI and ML solutions built on the approved enterprise stack (Azure ML, Azure OpenAI Service, Snowflake Cortex, Copilot Studio).
Lead Forward-Deployed Engineering (FDE) for GenAI delivery: run the FDE model — engineers embedded directly with business teams to turn their problems into working GenAI solutions — owning how FDEs are assigned, how they engage, and the quality of what they ship.
Mentor and grow the team: hire, coach, and develop AI/ML engineers in Bangalore; set the techni

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