About the role
Manage a team of software engineers to optimize AI/ML workloads on Google Cloud infrastructure, providing technical leadership and customer collaboration.
TechnologyOnsite
Key Responsibilities
- Recruit, provide mentorship and technical guidance to the team including road map and direction for team deliverables as well as efficient execution.
- Partner with customers to optimize the performance of their AI/ML models on Google Cloud infrastructure.
- Lead performance profiling, debugging, and troubleshooting of customer training and inference workloads.
- Collaborate with internal infrastructure, ML teams to improve Google Cloud's ability to support AI workloads.
- Develop and deliver training materials and demos to empower customers and internal teams.
- Contribute to the continuous improvement of our products by identifying and reporting bugs and suggesting enhancements.
Requirements
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience leading 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.
- 2 years of experience in a people management or team leadership role.
- Ability to communicate in Mandarin and English fluently to partner with local clients and regional partners.