Key skills
SQLMLData Engineering
About this role
Role Overview
- Own model traceability
- Evaluate and recommend tooling for versioning, metadata, and model registry
- Build end-to-end monitoring
- Partner with Data Engineering on data quality
- Detect issues proactively
- Build diagnostic tooling
- Own incident response for ML systems
- Coordinate on post-deployment metrics
Requirements
- 5+ years in ML engineering, applied ML, or a related ML role
- Has built or operated model registries, ML monitoring systems, or production ML pipelines
- Understands ML systems end-to-end
- Robust SQL skills
- Comfortable partnering with DevOps and Platform teams
Tech Stack
- SQL
Benefits
- medical
- dental
- vision
- 401(k) plan
- life insurance coverage
- disability benefits
- tuition assistance program
- PTO
- bonus eligible