ML Tech Lead (GenAI, AWS)
Tasks
- Address technical debt
- Build proof-of-concepts
- Conduct technical code reviews
- Contribute code to critical components
- Create learning opportunities
- Develop reusable ML accelerators and frameworks
- Evaluate and introduce ML tools
- Guide technical problem solving
- Maintain ML engineering credibility through coding
- Make ML architectural decisions
- Mentor ML engineers
- Review and approve ML designs
- Set ML technical direction
- Share knowledge through workshops and documentation
- Support debugging complex issues
- Troubleshoot complex technical challenges
Perks/Benefits
- AWS certification sponsorship
- Continuous learning support
- Fully remote
- Medical insurance
- Paid public holidays
- Paid sick leave
- Paid vacation
Skills/Tech-stack
AWS | CI/CD | Data Pipelines | Distributed Systems | Documentation | Generative AI | Git | Integration Testing | Language Models | Large Language Models | MLOps | Machine Learning | Machine learning testing | Performance optimization | PyTorch | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Unit Testing
Education
N/A
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