Group Leader Data Science, AI/ML Engineering

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