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Cloud Machine Learning Engineer - EMEA remote

1 day, 15 hours ago
France
Full-time
Senior
Cloud Engineer
DevOps and Infrastructure
AWS Azure Docker EC2 GCP Hugging Face Kubernetes MongoDB PyTorch Rust Svelte Tailwind CSS Transformers TypeScript
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Hugging Face

Hugging Face

Hugging Face: Advancing AI through open collaboration. Platform for ML model collaboration and tools for AI project creation.

IT Services
51-250
Founded 2016
$395M raised
View All Jobs 8

Description

  • Integrate Hugging Face Transformers and Diffusers models with major cloud providers and managed SaaS platforms.
  • Ensure cloud-integrated machine learning models meet expected performance and reliability standards.
  • Design and develop secure, robust, and easy-to-use developer experiences and APIs.
  • Write technical documentation, examples, and notebooks to showcase new features and usage patterns.
  • Share results, updates, and technical work with the broader community.
  • Work across the full product development lifecycle to deliver machine learning platform features.
  • Collaborate on deploying machine learning systems to production in cloud environments.

Requirements

  • Deep experience building with Hugging Face technologies, including Transformers, Diffusers, Accelerate, PEFT, and Datasets.
  • Strong experience with deep learning frameworks, preferably PyTorch, with optional XLA understanding.
  • Strong knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Experience with Amazon SageMaker, EC2, S3, CloudWatch, or equivalent services.
  • Experience building MLOps pipelines and containerizing models and solutions with Docker.
  • Familiarity with TypeScript, Rust, MongoDB, and Kubernetes is helpful.
  • Ability to write clear documentation, examples, and definitions.
  • Interest in deploying machine learning systems to production and building strong developer experiences.
  • Bonus: Experience with Svelte and TailwindCSS.

Benefits

  • Reimbursement for relevant conferences, training, and education.
  • Flexible working hours and remote work options.
  • Health, dental, and vision benefits for employees and their dependents.
  • Parental leave and flexible paid time off.
  • Company equity as part of the compensation package.
  • Opportunity to visit office spaces in NYC and Paris if remote.
  • Workstation setup support if needed.

Interested in this position?

Apply directly on the company website

Apply Now

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