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ML Engineer (Senior)

Azmed · Paris, Ile-de-France, France

RemoteImported listingfull-timeabout 1 month ago

About The Role

Join AZmed, a fast-growing company revolutionizing radiology with AI technology. As a Senior ML Engineer, you will play a crucial role in automating the detection of abnormalities in X-rays, allowing doctors to focus on life-threatening exams. You will work closely with the R&D team and doctors, contributing to the development of state-of-the-art algorithms in the first French deep learning software in radiology.

  • Assurer la qualité et l'amélioration continue de nos ensembles de données et de nos modèles.
  • Prendre en charge le code de l'équipe d'IA, affiner l'architecture et appliquer les meilleures pratiques en matière d'ingénierie logicielle.
  • Optimiser et faire fonctionner notre pipeline de modèle de base (préparation des données, formation, validation).

Responsibilities

  • Ensure quality and continuous improvement of our datasets
  • Ensure quality and continuous improvement of our models
  • Reduce time to production of AI models and operating points
  • Support AI-related feature developments
  • Improve and maintain the AI team’s codebase
  • Learn and spread dev good practices and guidelines in the team
  • Collaborate closely with the Ops, MLOps and Dev teams

Qualifications

  • Master’s degree in statistics, data science, AI (or any related domain)
  • 5+ years of experience as a data engineer or data scientist working on ML applications
  • Experience in Computer Vision (Classification, Detection and Segmentation)
  • Experience in NLP (LLM, pre-processing, word embeddings)
  • Experience with our Data Engineering stack (Mongodb, SQL, Spark, Airflow, dvc)
  • Experience with our ML stack (pytorch, sklearn, skimage)
  • Have a strong sense of responsibility and rigor, from PR Reviews to ownership of features
  • Being proactive in proposing new features or technologies

Bonus points

  • Experience with medical images
  • Experience with image and text alignment, VLM, LLaVA
  • Experience in training or fine-tuning foundation models (pipeline and resource management)

Perks & Benefits

  • **Flexible work** : Possibility of working remotely two days per week 🌻
  • **Annual off-site** : One company holiday each year in amazing locations 🪅
  • **Atmosphere** : Young and dynamique team (29 y.o average) 🐣
  • **Localisation** : Great office in Paris 2nd arrondissement (Grands Boulevards) 🏣

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