ML Tech Lead (GenAI, AWS)

ML Engineering Excellence

• Deep ML Expertise: Advanced knowledge across multiple ML domains
• Production ML: Extensive experience building production-grade ML systems
• Architecture: Ability to design scalable, maintainable ML architectures
• MLOps: Strong understanding of ML infrastructure and operations
• LLM Systems: Experience with modern LLM-based applications and RAG
• Code Quality: Exemplary coding standards and best practices

Technical Breadth

• Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
• Cloud Platforms: Advanced AWS experience, familiarity with others
• Data Engineering: Understanding of data pipelines and infrastructure
• System Design: Ability to design complex distributed systems
• Performance Optimization: Experience optimizing ML models and infrastructure

Software Engineering

• Clean Code: Writes exemplary, maintainable code
• Testing: Champions testing practices (unit, integration, ML-specific)
• Git & Collaboration: Advanced Git workflows and collaboration patterns
• CI/CD: Experience building and maintaining ML pipelines
• Documentation: Creates clear, comprehensive technical documentation