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MLOps Engineer
Hugging Face
Remote — Worldwide · San Francisco, CA, US, 94105
Job description
Hugging Face is hiring an MLOps Engineer to help scale the AI platform used by hundreds of thousands of ML practitioners. You'll build the tooling that makes deploying and serving transformer models simple and fast.
- Build and maintain ML training pipelines and model serving infrastructure
- Improve the Inference Endpoints product for low-latency model serving
- Develop internal tools for dataset management and model evaluation
- Contribute to open-source projects in the Hugging Face ecosystem
Required skills
- Python
- PyTorch
- Kubernetes
- Docker
- Transformers
- MLflow
- AWS
Benefits
- Remote
- equity
- health
- hardware budget
- conference stipend
