Group Leader Data Science, AI/ML Engineering
consultmein- Posted 8 hours ago
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Job Description
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
More Info
Key Skills
LangGraph
Azure OpenAI Service
AKS
CI CD
Observability
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