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 sc...