AI Engineering Manager
Tasks
- Coach and grow engineering team
- Collaborate with product and AI research teams
- Contribute to technical roadmap and direction
- Define experimentation practices
- Drive innovation for autonomous systems
- Ensure scalability and reliability of agentic capabilities
- Foster continuous improvement and experimentation
- Implement MLOps workflows
- Lead agentic engineering team
- Own agentic platform design and development
- Standardize best practices for agentic development
Perks/Benefits
- Employee wellbeing support
- Flexible working hours
- Hybrid work options
- Learning and development programs
Skills/Tech-stack
Agentic architecture | Amazon Web Services | Azure | Cloud platform | Containerization | Distributed Systems | Docker | Google Cloud | Google Cloud Platform | Kubernetes | MLOps | Machine Learning | Model operationalization | Python | Web Services
Education
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
Regions
Countries
States
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