Group Lead, AI & MLE Ops
Heinz · Bengaluru · onsite · Posted 24d ago
Undisclosed15–20 yrsfulltimeSourced from
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About this role
Job Description
Role Summary
KRAFT HEINZ
Data, AI Digital Innovation - India GCC
Group Lead Data Science, AI/ML Engineering
Location
Bangalore, India (India GCC)
Function
Data, AI Digital Innovation - Data Science, 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 Data Science, 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 Data science experiments, AI/ML solution and Platform .
How This Role Fits the Operating Model 1. Manage GCC deliverables across Data Science, AI Engineering and ML Engineering. Single point of ownership for what the India GCC delivers across disciplines - ideation, experimentation, 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 clear accountability regardless of who does the work.
3. Partner with Data Science, 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 Data Science, AI Engineering, ML Engineering MLOps from the GCC: own applied delivery of data science, 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 - data scientists and 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 data scientists, AI/ML engineers in Bangalore; set the technical bar and build future leads.
- Create the delivery framework: define how work moves from intake to production - standards for scoping, code quality, CI/CD, testing, evaluation, and release - so delivery is repeatable and predictable.
- Manage delivery: own commitments on scope, dates, quality, and cost; track progress, surface risks early, and course-correct visibly.
- Ensure the ML Platform and its SLAs: keep the enterprise AI/ML platform and pipelines reliable - MLOps, CI/CD, monitoring, incident response, cost management - and define, enforce, and report against SLAs for availability, support response, and delivery turnaround.
- Liaise with consulting partners: manage offshore consulting partners - onboarding, work allocation, quality review, and accountability for their deliverables.
- Hands-on experience delivering Data science, GenAI and ML solutions to production, ideally on Azure (Azure ML, Azure OpenAI Service, AKS, Azure DevOps).
- Strong MLOps background: containerization, CI/CD, deployment, monitoring, and reliability for ML/LLM systems.
- Experience with agentic/LLM application development (LangGraph or comparable frameworks) and strong production-quality Python.
- Proven people leadership: hiring, mentoring, and growing data scientists and engineers; comfortable operating in a forward-deployed model alongside business teams.
- Experience setting up delivery frameworks, SLAs, or operating processes for data science and engineering team.
- Experience managing vendors or consulting partners and holding them accountable for quality.
- Clear communicator, comfortable working across time zones with global leadership and non-technical stakeholders.
- Experience in a GCC or hub-and-spoke operating model.
- CPG, retail, or other large-enterprise background.
- Experience with Snowflake Cortex, semantic views, and text-to-SQL agents in an enterprise setting.
- Experience implementing responsible AI practices (prompt injection defenses, PII handling, grounded-ness or hallucination prevention) in a brand-sensitive environment .
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
ConsultingEngineering ManagerCortexSLASMonitoringGroup LeadPythonSQLApplication DevelopmentData Science
About Heinz
Heinz
London
GB
About
No matter the brand, we??????re united under one vision: To sustainably grow by delighting more consumers globally. Bringing this vision to life is our team of 39,000+ food lovers, creative thinkers, and high performers worldwide. Together, we help provide meals to those in need through our global partnership with Rise Against Hunger. We also stand committed to responsible, sustainable practices that extend to every facet of our business, our consumers, and our communities. Every day, we??????re transforming the food industry with bold thinking and unprecedented results. If you share our passion ?????? and are ready to create the future, build a legacy, and lead as a global citizen ?????? there??????s only one thing to do: join our table and let??????s make life delicious!
Industries
Food and BeverageFood ProcessingSnack Food