MLOps Engineer

Materialise; Barcelona; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

Materialise Medical is seeking an ML Engineer in Barcelona to transform proof-of-concept scripts into production pipelines and to build monitoring for deployed models.

You will collaborate with research and development teams to maintain scalable infrastructure for training, testing, deployment, and monitoring, while optimizing model performance in production environments.

Formación

• 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 with Docker and Git-based workflows.
• Professional English language skills.

Responsabilidades

• 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.

Conocimientos

Python programming

Machine learning frameworks

Cloud platforms

Git & CI/CD

Linux/Windows

English proficiency

Educación

Bachelor's or Master's degree in CS/ Data Eng/ Biomedical Eng

Herramientas

Docker

Git-LFS

DVS

MLflow

Weights & Biases

Terraform

Descripción del empleo

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

• 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), 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