Staff Machine Learning Engineer, Platform (MLOPS)
Core
Own and operate the end-to-end platform for ML and GenAI models, ensuring reliable production deployment, monitoring, and cost management.
Role type
Staff Machine Learning Engineer (MLOps/Platform)
Builds
Production-ready ML/GenAI pipelines, model serving infrastructure, agent runtime layers, and observability substrates.
Domain
Automotive financing / Machine Learning Operations / Generative AI (via careerplan.io/jobs/R13963-staff-machine-learning-engineer-platform-mlops-at-creditacceptance)
Deliverable
production ML models
Required skills
Python, SQL, Cloud ML platforms (AWS/Databricks), CI/CD for ML, Containerization, Infrastructure as Code, LLM/GenAI operational patterns, Agent gateway management, Model Context Protocol (MCP), Cost optimization
Preferred skills
GPU-backed model serving, OpenTelemetry, Enterprise observability platforms, Model serving efficiency techniques
Responsibilities
Own deployment paths for training and inference pipelines; Monitor runtime health including drift detection and incident response; Operate agent runtime layers and gateways; Build evaluation substrates for production agents; Manage platform unit economics and cost analysis; Mentor engineers on production ML practices
Seniority
Staff, hands-on IC with strategic scope
