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Staff / Senior Machine Learning Scientist (AI & GenAI)

ccf · Remote Location

New Remote
Remote Senior 🇬🇧 English
Python TensorFlow PyTorch Hugging Face Generative AI Large language models Natural Language Processing Azure Databricks MLOps

Job description

About the role

The Cleveland Clinic Health System is seeking a highly skilled Machine Learning Scientist to lead the development and implementation of state‑of‑the‑art AI models, with a focus on Generative AI for healthcare challenges. The role can be performed remotely and involves shaping the long‑term AI strategy while collaborating with clinical and operational teams.

Key responsibilities

  • Develop, train, fine‑tune and optimize advanced GenAI and machine‑learning models to solve critical healthcare problems.
  • Design and conduct experiments to evaluate model performance and robustness.
  • Collaborate with IT, operations, and clinical stakeholders to integrate AI solutions into existing and new products.
  • Mentor interns, junior scientists, and engineers, providing technical guidance.
  • Stay current with the latest developments in GenAI, large language models, and related research.
  • Contribute to technology roadmaps and present project updates to cross‑functional partners.

Required profile

  • MS or PhD in Computer Science, Engineering, or a related field.
  • At least 7 years of hands‑on AI/ML research and development experience (or 10+ years post‑master’s).
  • Proven expertise in predictive modeling, deep learning, GenAI, and large language models.
  • Strong software development skills, especially in Python.
  • Excellent communication skills to convey technical concepts to non‑technical stakeholders.

Required skills

  • Python programming
  • TensorFlow
  • PyTorch
  • Hugging Face libraries
  • Generative AI and large language model techniques
  • Natural Language Processing and multi‑modal representations
  • Azure cloud services
  • Databricks
  • MLOps best practices

Questions fréquentes

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Source : ats:workday

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Published 2 hours ago

Expires 1 month from now

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Remote Location