MLOps Engineer

Mondeadditif; Heverlee; On-site; EUR 65,000 - 90,000; Full time

Job summary

Materialise Medical seeks an experienced MLOps/DevOps engineer to transform PoC scripts into production pipelines and maintain robust infra for model training, testing, deployment, and monitoring. You will collaborate with research and development teams to optimize performance and reliability in production environments.

The role requires strong Python, Docker, and cloud experience, with a bias toward MLflow or weights & biases, and familiarity with Terraform.

Qualifications

• At least 3 years of experience in an MLOps or DevOps role.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Biomedical Engineering, or a related field.
• Strong programming skills in Python.
• Experience with ML frameworks such as TensorFlow, PyTorch, ONNX, or scikit-learn.
• Proficiency with cloud platforms like AWS SageMaker, GCP Vertex AI, or Azure ML.
• Knowledge of experiment tracking frameworks like mlflow or weights & biases.
• Familiarity with Docker, ECR & EKS.
• Strong knowledge of Git, Git-LFS, DVC and CI/CD pipelines.
• Experience with Terraform.
• Professional English language skills.
• Solid knowledge of Linux and Windows operating systems.
• Experience with medical imaging is a plus.

Responsibilities

• Transform proof-of-concept scripts into Pipelines with different processing steps.
• Develop and maintain monitoring and alerting systems to ensure the health and performance of deployed models.
• Cross-functional collaboration with research teams and development teams.
• Maintain scalable, robust, and reliable infrastructure for model training, testing, deployment, and monitoring.
• Optimize and enhance model performance, scalability, and reliability in production environments.
• Take responsibility for code testing and quality checking.
• Stay on top of the latest trends in the field of MLOps and cloud platforms.

Skills

Python

MLOps

English proficiency

Linux/Windows

Education

Bachelor’s or Master’s degree in CS/Data/Biomedical Engineering

Tools

Docker

Terraform

Git

MLflow

Weights & Biases

ECR

EKS

Job description

At Materialise Medical, we believe that better healthcare starts with solutions designed around the individual patient. If you’re passionate about bringing personalized care to every patient, you’ll love being a part of this team. Through the technology we develop, researchers, engineers, and clinicians are revolutionizing personalized treatment — helping improve and save lives daily.

What you will do

• Transform proof-of-concept scripts into Pipelines with different processing steps
• Develop and maintain monitoring and alerting systems to ensure the health and performance of deployed models
• Cross-functional collaboration with research teams and development teams
• Maintain scalable, robust, and reliable infrastructure for model training, testing, deployment, and monitoring
• Optimize and enhance model performance, scalability, and reliability in production environments
• Take responsibility for code testing and quality checking
• Stay on top of the latest trends in the field of MLOps and cloud platforms

Your profile

• At least 3 years of experience in an MLOps or DevOps role
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Biomedical Engineering, or a related field
• Strong programming skills in Python
• Preferred to have experience with machine learning frameworks such as TensorFlow, PyTorch, ONNX, or scikit-learn
• Proficiency in cloud platforms such as AWS SageMaker (preferred), GCP Vertex AI or Azure ML
• Knowledge of experiment tracking frameworks like mlflow or weights & biases
• Good familiarity with Docker, ECR & EKS
• Strong familiarity with version control systems (e.g., Git, Git-LFS, DVC) and CI/CD pipelines
• Experience with Terraform
• Professional English language skills
• Solid knowledge of Linux and Windows operating systems
• Experience with medical imaging is a plus

What’s waiting for you

Work that matters

The technology we build at Materialise pushes the boundaries. You’ll find pride in building something that matters, whether you designed it, printed it, or shipped it. No matter your role, we unlock new possibilities to build a better and healthier world every day.

At Materialise, we expect you to think about the customer, not just the task. You push for better solutions and care about the difference your work makes.

A people-centered space

When you join Materialise, you join a group of colleagues invested in you, not just your work. From your own team to a department across the world, you’ll find a sense of belonging with people who help without being asked, challenge you, and have your back.

At the same time, we expect you to invest in the people around you — not just your own work — to make the group stronger than the sum of its parts.

An environment of trust

As a company of innovators, we know how crucial autonomy is in your work. When we hire you, we trust in your expertise, giving you space to organize your tasks, work flexibly, and make your own calls.

At Materialise, we expect you to deliver on that trust and keep your commitments.

A career ready to build

When you see opportunities for your career to grow at Materialise, we encourage you to go for them. People shape a fulfilling career at their own pace here.

At Materialise, we expect you to take initiative in your own development. Don’t wait for someone else to plan your career. Step into the space and make it count.

Make a difference together with the Medical team.