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.

No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta ocasión.
What you will do

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- 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

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- Bachelor's or Master's degree in Computer Science, Data Engineering, Biomedical Engineering, or a related field

- Strong programming skills in Python

- Experience with machine learning frameworks such as TensorFlow, PyTorch, ONNX, or scikit-learn

- Proficiency in cloud platforms such as AWS SageMaker (preferred), xcskxlj GCP Vertex A,I or Azure ML

- Experience with medical imaging is a plus

- Knowledge of experiment tracking frameworks like mlflow or weights & biases

- Familiarity with Docker

- Familiarity with version control systems (e.g., Git, Git-LFS, DVS) and CI/CD pipelines

- Experience with Terraform

- Professional English language skills

- Solid knowledge of Linux and Windows operating systems

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📌 MLOps Engineer (Barcelona)
🏢 Materialise
📍 Barcelona