ppAt 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. /p h3What you will do /h3 ul liTransform proof-of-concept scripts into Pipelines with different processing steps /li liDevelop and maintain monitoring and alerting systems to ensure the health and performance of deployed models /li liCross-functional collaboration with research teams and development teams /li liMaintain scalable, robust, and reliable infrastructure for model training, testing, deployment, and monitoring /li liOptimize and enhance model performance, scalability,



and reliability in production environments /li liTake responsibility for code testing and quality checking /li liStay on top of the latest trends in the field of MLOps and cloud platforms /li /ul h3Your profile /h3 ul liBachelor's or Master's degree in Computer Science, Data Engineering, Biomedical Engineering, or a related field /li liStrong programming skills in Python /li liExperience with machine learning frameworks such as TensorFlow, PyTorch, ONNX, or scikit-learn /li liProficiency in cloud platforms such as AWS SageMaker (preferred), GCP Vertex A,I or Azure ML /li liExperience with medical imaging is a plus /li liKnowledge of experiment tracking frameworks like mlflow or weights biases /li liFamiliarity with Docker /li liFamiliarity with version control systems (e.g., Git, Git-LFS, DVS) and CI/CD pipelines /li liExperience with Terraform /li liProfessional English language skills /li liSolid knowledge of Linux and Windows operating systems /li /ul /p #J-18808-Ljbffr

📌 MLOps Engineer (Barcelona)
🏢 Materialise
📍 Barcelona