ML Tech Lead (GenAI, AWS)
Tasks
- 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
- Create machine learning pipelines
- Develop reusable ML accelerators and frameworks
- Help engineers debug complex issues
- Implement unit testing and integration testing
- Maintain production ML systems
- Make architecture decisions for ML systems
- Manage technical debt
- Mentor ML engineers
- Optimize ML models and infrastructure
- Provide guidance on technical problem-solving
- Review and approve technical designs
- Set technical direction for machine learning projects
- Troubleshoot complex ML technical issues
- Write technical documentation
Perks/Benefits
- AWS certification sponsorship
- Continuous learning support
- Fully remote
- Medical insurance budget
- Paid public holidays
- Paid sick leave
- Paid vacation
Skills/Tech-stack
Amazon Web Services | CI/CD | Data Pipelines | Distributed Systems | Git | Integration Testing | Language Models | Large Language Models | MLOps | Machine Learning | Model Optimization | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | Technical documentation | TensorFlow | Unit Testing | Web Services
Education
N/A
Roles
Engineer | Lead | Learning Engineer | Machine Learning Engineer | Tech Lead
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