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My client are a leading global technology company specializing in artificial intelligence (AI) and machine learning solutions. They focus on creating advanced decision-making systems for various industries, mainly bio/pharma through leveraging the power of AI to solve complex problems and optimize processes.


With headquarters all over Europe. they are looking to grow their Paris office with the below:


Deep Learning Scientist for Biology


Responsibilities:

  • Work closely with fellow researchers and specialists to create machine learning techniques for computational biology challenges.
  • Aid in designing and implementing models, tools, and libraries to enhance research capabilities.
  • Optimize neural network algorithms for deployment on supercomputing architectures, leveraging modern parallel computing environments.
  • Clearly and effectively communicate experimental results and research discoveries, both internally and externally, through verbal and written presentations.
  • Assist in the team’s efforts to publish research findings.
  • Facilitate the transfer of foundational research into practical applications by collaborating with the product development team.


Your Profile:

  • Ph.D. / MS in Computer Science, Machine Learning, or a related discipline.
  • Proficiency with deep learning frameworks like PyTorch, TensorFlow, and/or Jax.
  • Skilled in developing and debugging using Python3 or similar programming languages.
  • Familiarity with HPC techniques and frameworks (for distributed computing on clusters of CPUs and accelerators).


Nice to haves:

  • Computer Vision, or Natural Language Processing experience.


Following your application Jay Robins, a specialist AI Recruitment consultant will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.


Please click ‘apply’ or contact Jay Robins for any further information.

Email: jrobins@barringtonjames.com