Senior Machine Learning Engineer

## About the Role Mercury is building the future of business banking. As a Senior ML Engineer, you will design and deploy ML and Gen AI microservices focused on automating financial compliance reviews, partnering with data science and engineering teams to embed AI into the broader review experience with human oversight mechanisms. ## Responsibilities - Design and deploy ML/Gen AI microservices for automated compliance reviews - Partner with data science and engineering teams on AI-powered review systems - Build human-in-the-loop oversight mechanisms for ML predictions - Develop and maintain production ML services at scale - Work across the modern data stack (Snowflake, dbt, Fivetran) ## Requirements - 7+ years in ML engineering, data engineering, backend software engineering, or DevOps - Modern data stack proficiency (Snowflake, dbt, Fivetran, Airbyte, Dagster, Airflow) - SQL, dbt, Python expertise - Experience with OLAP/OLTP architectures, key-value stores, streaming pipelines, and API frameworks - Production ML service experience - Full-stack development capabilities