Related skills
aws tensorflow pytorch mlops scikit-learn📋 Description
- Set technical direction and standards for ML projects
- Make architectural decisions for ML systems
- Review and approve technical designs
- Mentor ML engineers; conduct technical code reviews
- Contribute code to critical ML components
🎯 Requirements
- Deep ML expertise across multiple domains
- Production ML: building production-grade systems
- Architecture: scalable ML architectures
- MLOps and LLM/RAG systems
- TensorFlow, PyTorch, scikit-learn
- AWS and cloud platforms; data pipelines
- Software engineering: clean code, testing, CI/CD, docs
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