Ingénieur(e) En Traitement D’image Et Intelligence Artificielle H/f

GE HealthCare Technologies

Buc, France
Not specified
Master's degree in applied mathematics or image processing
Expertise in inverse problems and image reconstruction
Proficiency in c, c++, and python programming languages
GE HealthCare Technologies is seeking an Image Processing and Artificial Intelligence Engineer to develop new image processing algorithms for mammography. The position, based in Buc, France, requires a strong background in image processing, machine learning, and collaboration with global teams

Job Summary

  • You will develop new image processing and 3D reconstruction algorithms for GE HealthCare's mammography platforms to assist radiologists.
  • The role requires combining non-AI techniques like deconvolution and regularization with advanced deep learning methods.
  • You will collaborate globally with clinical experts, system architects, and software teams while defining validation strategies on simulated or real images.

Matching Summary

Match Score: 85

GE HealthCare Technologies is seeking an Image Processing and Artificial Intelligence Engineer to develop new image processing algorithms for mammography. The position, based in Buc, France, requires a strong background in image processing, machine learning, and collaboration with global teams.

Skills & Requirements

Must-have

  • Master's degree in Applied Mathematics or Image Processing
  • Expertise in inverse problems and image reconstruction
  • Proficiency in C, C++, and Python programming languages
  • Experience with deep learning and machine learning techniques
  • Strong communication skills for client interactions

Nice-to-have

  • Doctorate in Applied Mathematics or Data Science
  • 3 years of experience in image processing or ML
  • Knowledge of X-ray imaging and mammography
  • Experience with tomographic reconstruction
  • Author of international publications or patents
  • Familiarity with specification management tools like Doors

Key Requirements

  • Master's degree required in Math, Image Processing, or Data Science
  • Proven experience in image processing or machine learning domains
  • Fluent English proficiency required for global collaboration

Work Rights

Not specified

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