AI Research Engineer H/F
GLEAMER

GLEAMER

AI Research Engineer H/F

  • Indefinido 
  • Paris
  • Licenciatura / Máster

La empresa

GLEAMER

GLEAMER

  • Software, Inteligencia artificial/Aprendizaje automático, Salud
  • Entre 50 y 250 empleados

La oferta

AI Research Engineer H/F

  • Indefinido 
  • Paris
  • Licenciatura / Máster

¡El puesto ya ha sido cubierto!

Who are they?

Gleamer puts AI in the service of healthcare professionals by developing solutions capable of supporting their diagnoses and augmenting their work environment.
More than simple products, our solutions are dedicated companions for our users. They provide an instant, automatic and transparent second diagnosis.
Currently undergoing serious growth, GLEAMER hopes to become the tip of the spear in modern imaging technology.

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Job description

As AI Research Engineer, your main responsibilities are :

  • Challenge our deep learning models and overcome their weaknesses with innovative approaches.
  • Understand and be in charge of existing deep learning pipelines, from data management to model deployment.
  • Help Gleamer expand its product portfolio by reusing and adapting existing internal frameworks, or laying the groundwork for exciting new challenges such as working with new imaging modalities.

Preferred experience

  • MSc or PhD in the field of Computer Vision
  • Extensive experience in deep learning applied to computer vision
  • Thorough practical experience of a python deep learning framework (Pytorch, Tensorflow, etc.)
  • Ability to efficiently describe methods and results to technical and non-technical audiences
  • Great team spirit and at ease with teamwork
  • Constant awareness and ability to read, understand and implement new deep learning literature
  • Good software engineering skills with Python (Clean code, git, IDE, etc.)
  • Comfortable in a UNIX/Linux environment

Nice-to-haves:

  • Knowledge in medical imaging (X-ray, scanner, MRI, etc.) is a plus
  • Experience in cloud computing (AWS, GCP or Azure)
  • Large scale training/inference and model service serving experience
  • Experience in packaging and delivering models into production
  • Framework designing skills
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