Senior Machine Learning Operations Engineer
Mercury · San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States · All 85 Mercury jobs
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Half of recent mlops engineer adverts in the US state $147,938 to $225,750 a year. The middle is $173,725.
Required skills
- Machine Learning
- Python
- Fastapi
- Flask
Nice to have
- Observability
- Data Science
- CI/CD
- A/B testing
- SQL
- Redis
- Kafka
- Snowflake
- dbt
- Airflow
- Audit
- Compliance
About the job
Mercury's use of machine learning in risk decisioning is growing fast in scope and in stakes. Models increasingly drive real-time decisions about fraud and financial crime, and the Machine Learning Platform (MLP) team exists to build a paved path from a trained model to a reliable production deployment, speeding up iteration, and ensuring granular production observability.
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Source: Mercury's careers site
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