Research Engineer (Junior - CDI) Paris

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 exams Why 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 models Automate and simplify the deployment of AI models Support AI-related developments Improve and maintain the AI team’s codebase Learn and spread dev good practices and guidelines in the team Improve and maintain management of datasets Collaborate closely with the MLOps team Qualifications Master’s degree in statistics, data science, AI (or any related domain) Experience in Python Experience in AI Experience in Computer Vision Have a strong sense of responsibility and rigor, from PR Reviews to ownership of features Being proactive in proposing new features or technologies Knowledge or experience with data engineering (related to image data) Knowledge or experience with data management good practices Previous experience with NLP (LLM, pre-processing, word embeddings) Flexible work : Possibility of working remotely two days per week Annual 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 subject Include your resumé / LinkedIn / StackOverflow / GitHub accounts … whatever works best for us to get to know you #J-18808-Ljbffr