What you will doTransform proof-of-concept scripts into Pipelines with different processing stepsDevelop and maintain monitoring and alerting systems to ensure the health and performance of deployed modelsCross-functional collaboration with research teams and development teamsMaintain scalable, robust, and reliable infrastructure for model training, testing, deployment, and monitoringOptimize and enhance model performance, scalability, and reliability in production environmentsTake responsibility for code testing and quality checkingStay on top of the latest trends in the field of MLOps and cloud platformsYour profileBachelor's or Master's degree in Computer Science, Data Engineering, Biomedical Engineering,



or a related fieldStrong programming skills in PythonExperience with machine learning frameworks such as Tensor Flow, Py Torch, ONNX, or scikit-learnProficiency in cloud platforms such as AWS Sage Maker (preferred), GCP Vertex AI or Azure MLExperience with medical imaging is a plusKnowledge of experiment tracking frameworks like mlflow or weights & biasesFamiliarity with DockerFamiliarity with version control systems (e.G., Git, Git-LFS, DVS) and CI/CD pipelinesExperience with TerraformProfessional English language skillsSolid knowledge of Linux and Windows operating systemsLocation and type of contractLeuven, Belgium;
Barcelona, SpainFull-timeHybridMid-senior levelCV in English

📌 Mlops Engineer (Barcelona)
🏢 Materialise
📍 Barcelona