Senior Machine Learning Operations Engineer

What this role involves

Mercury's Machine Learning Platform team is hiring a Senior Machine Learning Operations Engineer to build and operate the real-time inference and deployment infrastructure for risk decisioning models. The role requires expertise in production ML serving, backend engineering in Python, and observability, with a focus on low-latency, high-availability systems. The engineer will partner with Data Science to own the full ML lifecycle from deployment to monitoring.

Skills this posting asks for

• python
• fastapi
• flask
• sql
• redis
• dynamodb
• kafka
• kinesis
• redpanda
• model registries
• ci/cd
• observability
• alerting
• drift detection
• snowflake
• dbt
• dagster
• airflow
• haskell
• react
• typescript

Requirements

• 5 years of experience
• Level: senior

From the employer’s posting

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 dep…