- US, United States +1 more
- Full-time · Mid
- $120K–$140K per year
Build the reliable, automated infrastructure that powers our machine learning lifecycle, operationalizing and scaling models from prototype to robust, production-grade systems.
Locations (2)
- US, United States
- United Kingdom
Compensation
$120,000 – $140,000 annually.
Responsibilities
- Operationalize and scale machine learning models
- Build reliable, automated and maintainable systems
- Owning the deployment of machine learning models to production
- Build and maintain scalable, low-latency prediction endpoints using GCP Vertex AI
- Designing, implementing, and maintaining CI/CD/CT pipelines for machine learning workflows using Vertex AI Pipelines, Cloud Build, and related GCP tools