AI/ML Technical Lead with healthcare and medical-domain experience

Irvine, CA, US • Posted 16 hours ago • Updated 16 hours ago
Contract W2
Contract Corp To Corp
Contract Independent
3 Months
Travel Required
Able to Sponsor
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Emerging Technologies
  • Documentation
  • Evaluation
  • Health Care
  • Mentorship
  • Collaboration
  • IT Management
  • Machine Learning (ML)
  • Product Engineering
  • Risk Management
  • Research
  • SAFE
  • Technical Direction

Summary

Role: AI / ML Technical Lead

Location: Irvine, California · On-site

Role overview

The AI / ML Resource will provide scientific and technical direction for AI across the structural heart disease journey. The role will develop and evaluate advanced domain-specific approaches, scout emerging technologies, and guide teams toward safe, robust, and production-ready AI solutions.

Key responsibilities

  • Set technical direction for AI across the structural heart disease journey and establish scientific standards for the broader team.
  • Develop and evaluate domain-specific models across clinical data, language, imaging, waveforms, and emerging AI methods.
  • Identify and incubate promising technologies, assess feasibility, and provide quarterly recommendations to inform investment decisions.
  • Promote models that are generalizable, fair, robust, and appropriate for real-world use; partner on validation, risk management, regulatory documentation, and production monitoring.
  • Guide and mentor engineers and data scientists, partnering with product, clinical, engineering, quality, and regulatory teams to deliver AI solutions.

Experience and capabilities

  • Advanced experience in AI/ML research and applied delivery, with the ability to set technical direction and scientific standards.
  • Familiarity with multiple data modalities relevant to healthcare, such as clinical data, language, images, or waveforms.
  • Ability to evaluate new methods and technologies for feasibility, value, and responsible deployment.
  • Understanding of model generalizability, fairness, robustness, validation, risk management, documentation, and monitoring.
  • Proven ability to mentor technical teams and collaborate across clinical, product, engineering, quality, and regulatory functions.

Desired outcomes

A coherent AI technical direction for structural heart disease, evidence-based technology recommendations, and responsible AI solutions that progress from evaluation to real-world use.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: innom
  • Position Id: 9140036
  • Posted 16 hours ago
Contact the job poster
Vishnu Vardhan Reddy Tripuravaram

Vishnu Vardhan Reddy Tripuravaram

Senior Recruiter @ Innominds Software

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