AZmed

Research Engineer (Junior - CDI) Paris

AZmed Paris
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We are an enthusiastic, passionate, and hardworking team looking for a like-minded

Research engineer .Doctors waste a lot of time looking for abnormalities in X-rays. At AZmed, you will help to automate this detection process, for doctors to spend most of their time on life-threatening examsWhy join AZmed?

You will work within the whole R&D team (developers, data scientists, and MLOps engineers) and doctors, on a daily basis. We are going through a fast growth period and are working with over 1000 sites in 40 countries, so it’s an exciting time to join our team and contribute to AZmed's mission.AZmed’s first product is Rayvolve, an AI-based abnormality detection software, and you will have hands-on experience in developing applications that integrate state-of-the-art algorithms on the

first French deep learning software in radiology.Responsibilities

Reduce time to production of AI modelsAutomate and simplify the deployment of AI modelsSupport AI-related developmentsImprove and maintain the AI team’s codebaseLearn and spread dev good practices and guidelines in the teamImprove and maintain management of datasetsCollaborate closely with the MLOps teamQualifications

Master’s degree in statistics, data science, AI (or any related domain)Experience in PythonExperience in AIExperience in Computer VisionHave a strong sense of responsibility and rigor, from PR Reviews to ownership of featuresBeing proactive in proposing new features or technologiesKnowledge or experience with data engineering (related to image data)Knowledge or experience with data management good practicesPrevious experience with NLP (LLM, pre-processing, word embeddings)Flexible work

: Possibility of working remotely two days per weekAnnual off-sites

: Two company holidays each year in amazing locations

  • Atmosphere

: Young team (28 y.o average)Localisation

: Great office in Paris 2nd arrondissement (Grands Boulevards)Screening interview with our Head Of AI (30 min, remote)Technical interview with one of our Deep Learning Researchers (2 hours, at the office or remote)Meet the team and founders (2h30 hours, at the office)Include this role’s title in the subjectInclude your resumé / LinkedIn / StackOverflow / GitHub accounts … whatever works best for us to get to know you

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  • Niveau hiérarchique

    Premier emploi
  • Type d’emploi

    Temps plein
  • Fonction

    Ingénierie et Technologies de l’information
  • Secteurs

    Fabrication d’équipements médicaux

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