Machine Learning Engineer

• Initially focus on re-architecting and enhancing the dynamic provisioning platform for remote ML experiments
• Lead collaboration with ML engineers and data scientists to understand needs and design robust tools and processes
• Drive design, development, and optimization of core ML infrastructure leveraging Kubernetes
• Champion best practices in software engineering, including code quality, testing, and system reliability
• Take ownership of key infrastructure components and initiatives
• Mentor junior engineers with high-level system design and code reviews
• Contribute to broader ML infrastructure enhancements to keep training ecosystem cutting-edge and robust

Senior Software Engineer, MLOps

Associate Managing Consultant, GenAI Engineer