ML Platform Engineer
Family: Data & AI
Builds the internal infrastructure — training pipelines, experiment tracking, and serving platforms — that lets ML teams move faster.
Day to day
Maintains training clusters and orchestration systems, builds experiment tracking tooling, manages model registries, and operates low-latency model serving infrastructure.
Core skills
- ML orchestration
- model serving
- distributed training
- Kubernetes
- Python