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Role: Group Leader – Data Science, AI/ML Engineering
Location: Bangalore (work from office)
Experience: 12 – 16 Years
Our client is looking for a strong technology leader to lead Data Science, AI Engineering, ML Engineering and MLOps. This is a strategic leadership role for someone who can combine hands-on AI/ML expertise with people leadership, engineering excellence and global delivery ownership.
What You'll Lead
Own end-to-end delivery of Data Science, AI/ML and GenAI solutions from ideation through production
Lead Forward-Deployed Engineering (FDE) for GenAI, partnering directly with business teams to convert business problems into production-ready AI solutions
Build, mentor and grow a high-performing team of Data Scientists, AI/ML Engineers and MLOps professionals
Establish scalable delivery frameworks, engineering standards, CI/CD, testing, evaluation and release processes
Own delivery commitments across scope, timelines, quality and cost
Ensure reliability and SLA performance of enterprise AI/ML platforms and pipelines
Manage MLOps, monitoring, incident response and platform cost management
Lead and manage offshore consulting partners, ensuring quality and accountability
Partner closely with global Data Science, AI Engineering and ML Engineering leadership across North America
What We're Looking For
Hands-on experience delivering Data Science, GenAI and ML solutions into production
Strong experience with Azure ML, Azure OpenAI Service, AKS and Azure DevOps
Strong MLOps expertise covering containerization, CI/CD, deployment, monitoring and ML/LLM reliability
Experience developing agentic/LLM applications, with LangGraph or comparable frameworks
Strong production-quality Python skills
Proven experience hiring, mentoring and developing Data Scientists and AI/ML Engineers
Experience establishing delivery frameworks, SLAs and operating processes
Strong vendor/consulting partner management experience
Excellent stakeholder communication skills with the ability to work across global time zones and business functions
Preferred
Experience in a GCC / hub-and-spoke operating model, CPG, retail or large-enterprise environments, along with exposure to Snowflake Cortex, semantic views, text-to-SQL agents and Responsible AI practices. Must have a bachelors degree in computer science (preferably tier 1 engineering college/university)
If you're passionate about building enterprise-scale AI capabilities, GenAI engineering teams and high-performing GCC technology organizations, we'd like to hear from you.
Core Skills Required
Leadership & Delivery
Data Science Leadership
AI/ML Engineering Leadership
People Management & Team Building
GCC / Hub-and-Spoke Operations
Delivery Management
SLA Management
Vendor & Consulting Partner Management
Global Stakeholder Management
AI / ML / GenAI
Data Science
Machine Learning
Generative AI
LLM Applications
Agentic AI
AI Engineering
ML Engineering
Responsible AI
Production AI/ML Solutions
MLOps & Engineering
MLOps
CI/CD
ML/LLM Deployment
Containerization
Monitoring & Observability
ML Platform Reliability
Incident Response
Python
Azure DevOps
AKS
Technology Stack
Azure ML
Azure OpenAI Service
Snowflake Cortex
Copilot Studio
LangGraph / Comparable Agentic AI Frameworks
Semantic Views
Text-to-SQL Agents
Work arrangement
No
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