Provectus - 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