Senior Healthcare AI/ML Engineer

Mayo Career Site UK

Rochester (MN)

Vor Ort

USD 140.000 - 210.000

Vollzeit

14 Tage+

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Zusammenfassung

Mayo Clinic is seeking a Senior AI/ML Engineer to join a multidisciplinary team and drive the deployment of AI/ML solutions in clinical practice to improve patient care and operations. You will work across data, systems, and clinical workflows with clinicians, UX designers, product managers, IT professionals, and external partners.

You will lead end-to-end AI projects from ideation to production, guide CI/CD pipelines, and mentor junior engineers, ensuring safety, ethics, and regulatory

Aufgaben

  • Lead component design, development, integration, and standardization of AI-driven solutions.
  • Collaborate with clinicians, UX designers, product managers, IT professionals, and external partners.
  • Leverage ML techniques to develop end-to-end AI solutions for healthcare applications.
  • Establish evaluation methodologies and performance metrics for real-world settings.
  • Explain data analysis results to non-technical stakeholders to inform decisions.
  • Oversee engineering of systems critical for AI solution deployment.
  • Support automated AI development and releases through tools and CI/CD pipelines.
  • Contribute to best-practice AI development and deployment methodologies.
  • Provide mentorship and technical leadership to junior engineers.
  • Offer consultative guidance to clinical work units or AI product teams.
  • Provide training to healthcare staff on AI tools and technologies.
  • Contribute to developing new AI methods and technologies for healthcare.

Kenntnisse

AI/ML engineering
Deep learning
Natural language processing
Computer vision
Large language models
CI/CD pipelines
Healthcare data analysis
Stakeholder communication

Jobbeschreibung

Mayo Clinic is seeking a Senior AI/ML Engineer to join a multidisciplinary team and drive the deployment of AI/ML solutions in clinical practice to improve patient care and operations. You will work across data, systems, and clinical workflows with clinicians, UX designers, product managers, IT professionals, and external partners.

You will lead end-to-end AI projects from ideation to production, guide CI/CD pipelines, and mentor junior engineers, ensuring safety, ethics, and regulatory

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