Senior ML Engineer

AZmed; Paris; Hybride; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Meal vouchers

BSPCE

Résumé du poste

AZmed in Paris is seeking a Machine Learning Engineer to bridge experimental research and production systems, empowering AI researchers to scale and deploy cutting-edge technologies. The role focuses on maintaining data and model quality, owning the AI codebase, and raising engineering standards across the team.

You will optimize the Foundation Model pipeline, drive AI feature development, and collaborate with Ops, MLOps and Software Engineering to ensure reliable infrastructure and rapid

Qualifications

• Master’s degree in statistics, data science, AI or related field.
• 5+ years of experience as a data engineer or data scientist in ML.
• Experience with medical images and ML applications.
• Experience training or fine-tuning foundation models.
• Experience with image-text alignment, VLM, and LLaVA.

Responsabilités

• Bridge research and production teams to deploy ML models.
• Maintain quality and evolution of datasets and models.
• Own AI team codebase and enforce standards via PRs.
• Optimize Foundation Model pipeline and data prep.
• Collaborate with Ops, MLOps, and Dev teams for reliability.
• Drive AI feature development and streamline release pipelines.
• Reduce time to production for AI models and operating points.

Connaissances

ML stack

Computer Vision

NLP

Data Engineering

Proactive

Ownership

Formation

Master’s degree in statistics, data science, AI

Outils

pytorch

sklearn

skimage

Mongodb

SQL

Spark

Airflow

dvc

Description du poste

• As a Machine Learning Engineer in the AI team, you will be a bridge between experimental research and robust production systems, directly empowering our AI researchers to build, scale, and deploy cutting‑edge technologies. In this supportive yet highly impactful role, your core focus will be to:
• Maintain the overall quality and continuous evolution of both our datasets and our ML models
• Take ownership of the AI team’s codebase, refining architecture, enforcing high standards through rigorous pull request reviews, and actively spreading modern software engineering best practices across the team
• Optimize and operate our Foundation Model pipeline (data preparation, training, validation)
• Drive AI-related feature development and build streamlined pipelines to significantly reduce the time it takes to move models and operating points into production environments
• Success in this role relies on seamless cross‑functional collaboration, as you will partner closely with our Ops, MLOps, and Software Engineering teams to ensure smooth infrastructure integration and system reliability
• 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

Benefits

• Meal vouchers (Swile) and optional BSPCE
• Activities with colleagues: Games, Sports (Basketball session, Urban soccer, ), After works in a bar, karaoke or other activities
• Flexible work: Possibility of working remotely two days per week
• Time‑off: 5 weeks of paid holidays and 2 weeks of RTT
• Annual off‑sites: Two company holidays each year in amazing locations
• Healthcare: Alan Blue mutuelle
• Classic Perks: Transportation
• Localization: Great office in Paris 2nd arrondissement, next to metro Grands Boulevards

Experience with our ML stack (pytorch, sklearn, skimage)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)Master’s degree in statistics, data science, AI (or any related domain)Have a strong sense of responsibility and rigor, from PR Reviews to ownership of featuresBeing proactive in proposing new features or technologies5+ years of experience as a data engineer or data scientist working on ML applicationsExperience with medical imagesExperience in training or fine‑tuning foundation models (pipeline and resource management)Experience with image and text alignment, VLM, LLaVA