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Machine Learning Engineer - Generative AI - Remote

Posted 15 weeks ago
Software Development
Full Time
USA

Overview

At Mayo Clinic, our mission is to inspire hope and promote health through integrated clinical practice, education and research. The Mayo Clinic Generative AI team building technology at that very intersection, combining our research initiatives with the latest advances in transformer-based technologies to transform medicine.

In Short

  • Leverage machine learning techniques for healthcare applications.
  • Work on the full spectrum of the AI life cycle from ideation to production.
  • Analyze healthcare data to develop AI solutions.
  • Collaborate with multidisciplinary teams for AI/ML solutions.
  • Develop robust machine learning pipelines.
  • Facilitate automated AI software development and releases.
  • Implement best practices for AI development methodologies.
  • Provide mentorship to junior engineers.
  • Offer consultative services to clinical work units.
  • Provide training on AI tools and technologies.

Requirements

  • Experience in machine learning and AI technologies.
  • Strong background in deep learning and natural language processing.
  • Proficiency in developing AI solutions for healthcare.
  • Ability to work collaboratively in multidisciplinary teams.
  • Experience with CI/CD pipelines.
  • Strong mentorship and leadership skills.
  • Excellent communication skills.
  • Ability to analyze complex healthcare data.
  • Experience in developing machine learning pipelines.
  • Knowledge of best practices in AI development.

Benefits

  • Opportunity to work on cutting-edge AI technologies.
  • Collaborative work environment.
  • Professional development and mentorship opportunities.
  • Impactful work in the healthcare sector.
  • Flexible work arrangements.
Mayo Career Site US logo

Mayo Career Site US

Mayo Clinic College of Medicine and Science is a prestigious institution dedicated to advancing education in the medical and scientific fields. The college emphasizes a commitment to excellence in higher education, focusing on innovative digital marketing strategies to enhance student recruitment. With a collaborative environment, the college seeks to optimize its digital marketing analytics ecosystem, ensuring that its educational offerings are effectively communicated to prospective students. The organization values flexibility and work-life balance, offering remote work opportunities while fostering a culture of continuous improvement and performance measurement in digital marketing.

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