ML Tech Lead (GenAI, AWS)
Tasks
- Address technical debt
- Build RAG systems
- Build production ML systems
- Build reusable ML accelerators and frameworks
- Conduct technical code reviews
- Contribute code to critical components
- Create learning opportunities
- Create technical documentation
- Define ML system architecture
- Develop LLM-based applications
- Develop proof of concepts
- Implement CI CD ML pipelines
- Implement MLOps pipelines
- Maintain Git workflows
- Mentor ML engineers
- Optimize ML models and infrastructure
- Review and approve ML designs
- Set ML technical direction
- Support debugging and problem-solving
- Troubleshoot ML technical issues
- Write unit and integration tests
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 | LLM Applications | Language Models | Large Language Models | MLOps | Machine Learning | Performance optimization | PyTorch | RAG | Retrieval-Augmented Generation | Scikit-learn | Technical documentation | TensorFlow | Unit Testing | Web Services
Education
N/A
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