Cloud Machine Learning Engineer - US remote

View full description

Requirements:

• 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.

Responsibilities:

• 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.