Cloud Machine Learning Engineer - US remote

Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets. Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding. Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents. Experience in building MLOps pipelines for containerizing models and solutions with Docker. Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful. Ability to write clear documentation, examples and definition and work across the full product development lifecycle.

Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider. Ensuring the above models meet the expected performance. Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users. Write technical documentation, examples and notebooks to demonstrate new features. Sharing & Advocating your work and the results with the community.