Aws Engineer, DevOps, Machine Learning

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 AI 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 Location and type of contract - Leuven, Belgium; Barcelona, Spain - Full-time - Hybrid - Mid-senior level - CV in English