
Engineering Manager, AI Innovation and Research, Ambient, Stacks
- Bangalore, Karnataka
- Permanent
- Full-time
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
- 8 years of experience in leading Machine Learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
- Experience in managing a team of ML Engineers.
- Experience in machine learning, deep learning, and AI development, with building and deploying production-level models and ML-Infrastructure.
- Experience in leading technical projects from conception to deployment.
- Ability to work with teams, including product managers, ML Software Engineers, and related stakeholders, to drive Artificial Intelligence (AI) adoption and integration.
- Build capabilities in production that allow for the performant interaction between on-device , cloud Large Language Model (LLMs) or LLMs in a private environment.
- Work on architecture that spans devices and servers, while remaining adaptable to various compute and power capabilities.
- Work on horizontal technology, build the necessary infrastructure and pathways, drive customer onboarding, and own the upstreaming of user feedback and data back to related teams for Hybrid, Nano and Private Inference.
- Grow and manage a performing team of Software Engineers, Machine Learning (ML) engineers and ML researchers.