Engineering Manager – AI Platforms

About the role

This role is pivotal in bridging high-level product vision with robust, cloud-native engineering execution. As an Engineering Manager, you will serve as the bridge between Data Science research and production-grade software engineering. You will be responsible for the health, growth, and delivery of a cross-functional team, ensuring that our data-driven AI services are scalable, secure, and seamlessly integrated into our global consulting framework.

What you'll do

• Conduct performance reviews, define career paths, and foster an inclusive environment that encourages innovation in algorithmic design and deployment
• Cross-Functional Collaboration: Partner with Lead Data Scientists, Product Managers
• Serve as the bridge between Data Science research and production-grade software engineering

What you need

• 8–14 years in software engineering
• Agile
• System design
• Git
• AWS
• Kubernetes
• Docker
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• LLMs
• Machine learning
• CI/CD
• Deep learning
• NLP
• Azure