icims
Machine Learning Operations Engineer II
S&P Global Kensho
Cambridge, USA
Full-time
Mid · 2+ years experience
Onsite
USD 130000-175000 yearly / year
Discovered 1 weeks ago
PythonBashLangGraphPyTorchRayAirflow
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
PythonBashLangGraph
Key Skills for This Role
PythonBashLangGraphPyTorchRayAirflow
Full Job Posting
What You’ll Do
Iterate on Kensho’s ML processes to develop tools, services, and frameworks that make every stage of the ML workflow robust, auditable, and usable.
Work closely with ML engineers to understand their unique processes, identify pain points, and form effective solutions.
Empower engineers with the stable tooling necessary to rapidly experiment and actualize their research into demonstrable prototypes and mature products
Provide resources and training for ML teams on best practices, enabling them to efficiently productionize their work to be leveraged by high-value products and services
Evaluate, select and champion open source and third-party solutions, driving their adoption across teams and integrating into Kensho’s existing platform ecosystem
Ship scalable, efficient, and automated processes for model fine-tuning and reinforcement learning and for the evaluation of LLMs/Agents
Improve LLM and Agentic observability to help monitor agentic applications in production, detecting performance, decay and drift issues
Stay at the frontier by actively tracking emerging tools and frameworks, promote best practices and strengthen the technical expertise of the team with your unique skill set
What You’ll Need
2+ years of experience in ML infra, ML Ops, ML Engineering or some similar skillset
Experience managing distributed systems with Kubernetes. It is important to understand Kubernetes concepts and trade-offs
Cloud Platform (AWS) understanding. We utilize tools like EKS and managed ML services like Bedrock and SageMaker
Python proficiency (we are a python shop mostly)
Familiarity with distributed computing frameworks and workflow orchestration (ie. Ray, Airflow)
Familiarity with software engineering best practices in an ML context
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career