Senior Machine Learning Operations Engineer
Mercury
Standort: San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States, Canada (Remote)
**Senior Machine Learning Operations Engineer at Mercury in San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States, Canada** **What you'll do** - Build and operate real-time inference service for risk decision engine - Own model deployment infrastructure including registry and versioning - Build model observability for availability, latency, and error monitoring - Implement experimentation capabilities like champion/challenger routing **What they're looking for** - 5+ years in ML engineering, backend software, or MLOps - Production ML service experience in low-latency contexts - Strong backend engineering fundamentals in Python - Experience with model deployment and lifecycle tooling **Details** - Location: San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States, Canada - Type: Remote - Salary: null
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