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ML Engineer (Senior)

Azmed

Skills

Required

  • ML
  • AI
  • Detection
  • data science
  • Computer Vision
  • Classification
  • Segmentation
  • Data Engineering
  • Mongodb
  • SQL
  • Spark
  • Airflow
  • pytorch
  • sklearn
  • skimage

Preferred

  • pipeline
  • NLP
  • LLM
  • word embeddings
  • image and text alignment
  • VLM
  • LLaVA

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.

Responsibilities

  • 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).
  • 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

Requirements

  • 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 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

Preferred

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

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) 🏣