Job Title: ML Engineer
Location: Minneapolis, MN
Type: Full Time
Job Description:
- Take offline models data scientists build and turn them into a real machine learning production system
- Build and deploy training and serving pipelines for ML models in GCP
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of existing machine learning systems
- Work with upstream and downstream engineering teams to define the data contract for serving in platforms such as KubeFlow Vertex AI
- Work as a liaison with Data Science and Data Engineering team to understand the data schema and convey changes and updates to the respective teams
- Scope latency issues for multi-cloud deployments (AWS vs GCP) to enable real-time ML serving
- Enable dataset permissions, onboard pip packages to enterprise ML platform registry for Security approval, creating custom Docker images from base Python images