ML Engineer (Senior)

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.