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Kensho, part of S&P Global, is seeking a Machine Learning Operations Engineer II to enhance their ML platform by developing robust processes and tooling. The ideal candidate should have a strong background in ML infrastructure, Kubernetes, and Python, and be passionate about improving the developer experience within an AI-focused environment.
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Job Summary
The MLOps team empowers ML engineers with state-of-the-art processes, tooling, and infrastructure to iterate quickly and build reliably.
Employees are supported by top-of-market benefits including unlimited paid time off, 100% company-paid parental leave, and up to $20,000 in tuition assistance.
The role involves shipping scalable automated processes for model fine-tuning and improving LLM and agentic observability in production.
Matching Summary
Match Score: 75
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Kensho, part of S&P Global, is seeking a Machine Learning Operations Engineer II to enhance their ML platform by developing robust processes and tooling. The ideal candidate should have a strong background in ML infrastructure, Kubernetes, and Python, and be passionate about improving the developer experience within an AI-focused environment.
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