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