Manager Engineering

Overview

Lead, coach, and develop multiple pods of data scientists and machine learning engineers while ensuring high-quality, timely delivery of data science products and platforms.

What you'll do

• Lead, coach, and develop a team of data scientists and ML engineers
• Set clear performance expectations and support career development
• Foster an inclusive, high-performing team culture
• Provide technical guidance across data science and ML solutions working closely with AI Architects
• Ensure adherence to engineering standards and MLOps practices
• Review model designs and deployment strategies
• Own delivery execution and capacity planning
• Ensure predictable, high-quality delivery
• Manage risks, dependencies, and technical debt
• Partner with AI Product Owners and business stakeholders
• Communicate progress, risks, and outcomes clearly
• Ensure solutions meet quality, security, and compliance standards
• Uphold responsible AI principles
• Guide investigation and resolution of data, model, and system issues
• Review logs, metrics, and system behavior to support root cause analysis
• Partner with platform and operations teams to resolve production incidents
• Ensure issues are documented, learnings are captured, and preventative actions are implemented

What you'll need

• Bachelor's degree in engineering, computer science, data science, or a related field (or equivalent practical experience)
• Demonstrated ability to lead and develop high-performing technical teams delivering complex data science and machine learning solutions
• Strong working knowledge of data science, machine learning, GenAI and statistical modeling concepts, including supervised and unsupervised learning, feature engineering, model evaluation, and experimentation
• Proven ability to plan, prioritize, and execute work in Agile or hybrid delivery environments
• Excellent verbal and written communication skills, with the ability to clearly articulate complex technical concepts to non-technical audiences
• Demonstrated knowledge of software and data science development life cycles, including experimentation, prototyping, production deployment, and ongoing operations
• Working knowledge of artificial intelligence, GenAI and machine learning concepts, risks, and opportunities
• Strong technical literacy across programming and data science tools sufficient to effectively review code, designs, and technical approaches
• Demonstrated ability to lead teams through complex technical and operational issues across data, models, and production systems

Nice to have

• Post Graduate or higher

Details

• Location: Chennai, Tamil Nadu
• Posting dates: October 16, 2026 - October 29, 2026