As a ML Engineer you will be part of the datascience team in close collaboration with the data scientists. Your focus will be on the following tasks :
What you need to succeed:
A master degree from a top-tier university with computer science components;
A strong background in computer science;
Proficiency with Python;
Ability to produce clean and usable code in a collaborative setting. That means you are great at Git !;
A recent deep learning framework, such as Pytorch or Tensorflow;
Fluency in english;
You are autonomous and comfortable with team-work;
You are excited to work in a fast-paced growing environment;
You describe yourself as a swiss army knife, that means you love working on many different topics and learning new things !
You are curious about state-of-the-art deep learning models;
Additional Desirable Qualifications:
A technical assessment consisting of :
Overall, this can be done in one or two weeks, depending on your disponibilities.
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