Engineering Manager - Data Science
Tasks
- Address technical debt
- Conduct 1 1s and performance reviews
- Conduct code reviews and provide technical guidance
- Design and review system architectures
- Develop career growth paths
- Drive cross-functional collaboration
- Drive operational metrics and reliability
- Establish code quality and testing best practices
- Evaluate GenAI capabilities
- Execute product roadmap
- Implement evaluation frameworks
- Lead engineering teams shipping production AI systems
- Maintain sustainable team velocity
- Make architecture decisions for LLM systems
- Manage sprints and remove blockers
- Optimize cost quality tradeoffs
- Scope features and manage commitments
- Source interview and hire engineers
- Unblock engineers and allocate resources
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Agile | Analytics | B testing | Code review | Database Design | Distributed Systems | FastAPI | Fine Tuning | LLM | LLM Prompt | LLM Prompt Engineering | Machine Learning | Microservices | Model Evaluation | Prompt engineering | Python | Ray | SaaS | System design | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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