Staff Machine Learning Platform Engineer

Design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance.

• •As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance.
• •Key Responsibilities Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models Requirements 8+ years of experience building production ML or data platforms A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow