ML Tech Lead (GenAI, AWS)
Tasks
- Build proof-of-concepts for new approaches
- Build technical competency across the team
- Champion best practices in ML engineering
- Conduct technical code reviews
- Contribute code to critical components
- Create learning opportunities and growth paths
- Develop reusable ML accelerators and frameworks
- Evaluate and introduce new technologies and tools
- Help engineers debug complex issues
- Identify and address technical debt
- Maintain technical credibility through active coding
- Make architectural decisions for ML systems
- Mentor junior and mid-level ML engineers
- Provide guidance on technical problem-solving
- Review and approve technical designs
- Set technical direction and standards for ML projects
- Share knowledge through workshops and documentation
- Tackle high-risk technical challenges
- Troubleshoot complex technical challenges
Perks/Benefits
- Fully remote setup
- Medical insurance
- Paid sick leave
- Paid vacation
- Public holidays
- Unlimited AWS certification sponsorship
Skills/Tech-stack
AWS | CI/CD | Code Quality | Data Engineering | Deep learning | Documentation | Git | LLM Systems | ML Infrastructure | ML frameworks | MLOps | Machine Learning | Performance optimization | PyTorch | Python | Scikit-learn | System design | TensorFlow | Testing
Education
Roles
AI | AI Engineer | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Machine Learning Lead
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