ML Tech Lead (GenAI, AWS)
Tasks
- Address technical debt
- Build and deploy large language model applications
- Build proof-of-concepts
- Champion ML engineering best practices
- Conduct technical code reviews
- Contribute code to critical ML components
- Create learning opportunities and growth paths
- Develop reusable ML accelerators and frameworks
- Evaluate and introduce new ML tools and technologies
- Implement retrieval-augmented generation
- Maintain ML pipelines
- Make ML system architectural decisions
- Mentor ML engineers
- Optimize ML model and infrastructure performance
- Provide guidance on technical problem-solving
- Review and approve ML technical designs
- Set technical direction and standards for ML projects
- Share knowledge through workshops and documentation
- Support engineers debugging complex issues
- Troubleshoot complex technical challenges
Perks/Benefits
- Continuous learning support
- Fully remote
- Medical insurance
- Paid public holidays
- Paid sick leave
- Paid vacation
- Unlimited AWS certification sponsorship
Skills/Tech-stack
AWS | CI/CD | Data Pipelines | Distributed Systems | Git | Integration Testing | Language Models | Large Language Models | MLOps | Machine Learning | Performance optimization | PyTorch | Retrieval-Augmented Generation | Scikit-learn | System design | Technical documentation | TensorFlow | Testing | Unit Testing
Education
N/A
Roles
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