Role: Group Leader – Data Science, AI/ML Engineering

Location: Bangalore (work from office)

Experience: 12 – 16 Years

Our client is looking for a robust 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

📌 Group Leader Data Science, AI/ML Engineering (Bengaluru)
🏢 ConsultMeIn
📍 Bengaluru