Machine Learning Operations Engineer II

What you'll do

• Develop and refine tools, services, and frameworks to enhance the robustness of ML workflows.
• Collaborate with ML engineers to identify and resolve pain points in their processes.
• Provide stable tooling for rapid experimentation and prototyping by ML researchers.
• Train ML teams on best practices for efficient productionization of models and products.
• Evaluate and integrate open-source solutions into Kensho’s platform ecosystem.
• Implement scalable processes for model fine-tuning, reinforcement learning, and LLM evaluation.
• Enhance observability of agentic applications to monitor performance and detect issues.

What we're looking for

• 2+ years of experience in ML infrastructure, operations, or engineering.
• Proficiency in Python and understanding of Kubernetes for managing distributed systems.
• Experience with cloud platforms like AWS, including EKS and managed ML services.
• Familiarity with distributed computing frameworks (e.g., Ray) and workflow orchestration tools (e.g., Airflow).
• Ability to debug complex issues across infrastructure, networking, and application layers.
• Strong communication skills for driving adoption of new tools and best practices.
• Curiosity and eagerness to learn in a multi-disciplinary engineering environment.