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Senior Machine Learning Operations Engineer
Summary by AIEngineer.careers
Senior Machine Learning Operations Engineer is a MLOps Engineer role (full-time). with Mercury. in SAN FRANCISCO, US. Compensation shown: $167K–$208K. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
SAN FRANCISCO · US
$167K–$208K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
Mercury is seeking a Senior MLOps Engineer to bridge machine learning engineering and backend software development. This role focuses on building robust ML infrastructure and operationalizing models within the fintech domain.
Responsibilities
- Design and implement MLOps pipelines for model deployment and monitoring
- Develop backend software solutions to support ML workloads
- Collaborate with data scientists to productionize machine learning models
Requirements
- 5+ years of experience in machine learning engineering or MLOps
- Strong background in backend software engineering
- Experience with ML lifecycle management tools
Tech Stack
Backend EngineeringMachine LearningMLOps
Mercury
San Francisco · US · 1769+ employees
Mercury is a San Francisco fintech company that provides banking services and integrated financial workflow tools for startups and other ambitious companies. Its platform supports company banking, payments, cards, expense management, treasury, lending, and related financial operations; banking services are provided through partner banks.
