ML Engineer (Senior)
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Sep 23, 2026.
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.
Missions
- 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).
Profil recherché
### 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)