Manager, Engineering - Data Science
Tasks
- Address tech debt
- Conduct 1 1s and performance reviews
- Define evaluation frameworks for AI
- Drive cross-functional collaboration
- Drive hiring and onboarding
- Ensure scalability maintainability security
- Establish code quality testing best practices
- Evaluate GenAI capabilities
- Guide build-vs-buy decisions
- Lead engineering teams
- Make architecture decisions for LLM systems
- Manage sprints and maintain delivery velocity
- Own product roadmap execution
- Run A/B testing
- Scope features and manage commitments
- Track operational metrics
- Unblock engineers and allocate resources
- Use metrics and analytics for decisions
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Agile | B testing | Backend Development | Code review | Distributed Systems | FastAPI | Fine Tuning | GenAI | LLM | Maintainability | Model Evaluation | Prompt engineering | Python | Ray | SLA monitoring | Scalability | Security | Test automation | Vector Databases
Education
N/A
Roles
Engineering | Engineering Manager | Manager | Manager of Engineering
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