Senior Algorithm Verification R&D Engineer

4 дней назад

Киев, Киев, Украина Capgemini Engineering Полный рабочий день 120 000 $ - 200 000 $ в год
Job Description

We have an exciting opportunity for an Algorithm Verification R&D Engineer supporting the Interventional Cardiology Therapies (ICTx) R&D team. This role will ensure the commercial readiness of machine learning & classical algorithms to deliver life-changing medical devices to patients and clinicians.

Your Responsibilities Will Include:
  • Own the verification/validation strategies for machine learning models and classical algorithms in medical device systems such as intravascular imaging, intravascular lithotripsy, etc.
  • Assess new features for performance limitations and/or bias and understand the clinical impact of the algorithm performance.
  • Support the development of design controls for features utilizing machine learning models and classical algorithms.
  • Support regulatory submissions for products incorporating machine learning models and classical algorithms.
  • Collaborate with Machine Learning & Algorithm engineers, Data engineers, Systems engineers, Design Assurance engineers, Regulatory, and Marketing colleagues to achieve project goals.
  • Create a strong team culture around high expectations & high performance.
  • In all actions, demonstrate a primary commitment to patient safety and product quality.
Required Qualifications:
  • Bachelor's Degree, preferably in engineering, science, or similar discipline.
  • Minimum of 5+ years of industry experience with bachelor's degree, 3+ years of industry experience with master's degree, or 0-1+ years of industry experience with PhD.
  • Experience in the medical device industry or similarly regulated industry.
  • Experience with machine learning model development & validation.
  • Experience with Python.
Preferred Qualifications:
  • Experience with machine learning for medical images.
  • Knowledge of design control development process.
  • Experience with regulatory submissions for products utilizing machine learning.
  • Excellent verbal and written communication skills.
  • Excellent organizational, communication, and collaboration skills.

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