- Materialise GmbH
- Leuven Materialise, VBR
- Full-Time
- 24 days ago
MLOps Engineer.
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MLOps Engineer: our view in 3 lines...
- The Role:This role is for an MLOps Engineer focused on production machine learning systems in medical technology.
- The Person:The person will turn proof-of-concept scripts into pipelines, maintain monitoring and alerting, support model training and deployment infrastructure, and improve model performance, scalability and reliability in production.
- Requirements:The ideal candidate has at least 3 years of experience in an MLOps or DevOps role, strong Python skills, and experience with TensorFlow, PyTorch, AWS SageMaker, GCP Vertex AI or Azure ML, mlflow, Docker, Git, DVC, CI/CD, Terraform, Linux and Windows.
About the role
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.
