ML Engineer (Senior)

Azmed; Paris (TX); Hybrid; USD 80,000 - 108,000; Full time

Benefits offered by this job

Remote work two days per week

Annual off-site

Young and dynamic team

Office in Paris

Job summary

AZmed is seeking a skilled ML Engineer to bridge research and production for medical AI. You will maintain datasets and models, own the codebase, and optimize the Foundation Model pipeline.

You’ll collaborate with Ops, MLOps, and Software Engineering to ensure robust, scalable AI systems and rapid deployment of state‑of‑the‑art technology in radiology. The role emphasizes hands‑on development, feature delivery, and close work with doctors to advance AZmed’s Rayvolve platform in a fast‑growing,

Qualifications

• Master’s degree in statistics, data science, AI or related field.
• 5+ years building ML applications in production.
• Experience in computer vision, NLP, and ML pipelines.
• Familiarity with MongoDB, SQL, Spark, Airflow, and DVC.
• Experience with PyTorch, scikit-learn, and scikit-image.
• Experience with medical images and alignment of image/text, VLM/LLaVA.
• Proactive and responsible with PR reviews and feature ownership.

Responsibilities

• Maintain the overall quality and continuous evolution of datasets and models.
• Own the AI team’s codebase; refine architecture and enforce high standards via PR reviews.
• Optimize and operate the Foundation Model pipeline (data prep, training, validation).
• Drive AI features and build pipelines to accelerate production deployment.

Skills

5+ years ML/Data science

Computer Vision

NLP

PyTorch

Sklearn

Skimage

LLMs/Foundations

Medical imaging

VLM/LLaVA

Production ML pipelines

Education

Master’s degree in statistics, data science, AI (or related field)

Tools

MongoDB

SQL

Spark

Airflow

DVC

Job description

Description

We are an enthusiastic, passionate, and hardworking team looking for a like-minded ML engineer.

Doctors waste a lot of time looking for abnormalities in X-rays. At AZmed, you will help automate this detection process, so doctors can spend most of their time on life‑threatening exams.

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.

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 in the first French deep learning software in radiology.

Responsibilities

• Maintain the overall quality and continuous improvement of our datasets
• Maintain the overall 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)