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Senior Machine Learning Operations Engineer at Mercury

Confirmed open

Build a production ML platform for fraud-risk decisions, including low-latency inference, model registry, versioning and deployment pipelines. Monitor deployed models and make them reliable without shifting operational work to data scientists. The posting lists San Francisco, New York, Portland, or remote work within Canada or the United States.

Mercury initialsMercury

Search jobs by company: Mercury

Location
Remote
Advertised region
San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
Work arrangement
remote
Technologies
Python, TypeScript, React, SQL
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Role overview

Build a production ML platform for fraud-risk decisions, including low-latency inference, model registry, versioning and deployment pipelines. Monitor deployed models and make them reliable without shifting operational work to data scientists. The posting lists San Francisco, New York, Portland, or remote work within Canada or the United States.

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-11-08

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