Engineering Manager, AI Engineering (Magnet-Griffeye)
Tasks
- Coach and grow engineers
- Drive operational excellence
- Drive thoughtful AI assisted development practices
- Foster a culture of experimentation
- Guide technical execution
- Hire and manage ML engineers
- Lead with context and collaboration
- Nurture a high performing distributed team
Perks/Benefits
- Employee resource groups
- Generous time-off policies
- Healthcare benefits
- Retirement benefits
- Reward and recognition programs
- Volunteer opportunities
- Work life balance hybrid flexible approach
Skills/Tech-stack
Artificial Intelligence | CI/CD | Distributed Systems | Experiment tracking | MLOps | Machine Learning | Model versioning
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