INTERNSHIP: BIOVIA Machine Learning Applications (Medical Imaging)

### **Role Description \& Responsibilities** Join Dassault Systèmes BIOVIA and contribute to the development of innovative machine learning solutions that help scientists and researchers solve complex real\-world challenges. As part of the Machine Learning team, you will work with BIOVIA's Pipeline Pilot AI platform to design, develop, and optimize advanced machine learning capabilities for scientific applications. In this role, you will: * Develop and enhance machine learning components within the BIOVIA Pipeline Pilot platform, supporting scalable scientific data processing workflows. * Research, implement, and evaluate state\-of\-the\-art deep learning algorithms for image analysis and scientific data processing applications. * Collaborate with software engineers, product managers, quality assurance teams, and customer\-facing teams to deliver high\-quality solutions and innovative product features. * Participate in the design, testing, and validation of machine learning workflows, ensuring performance, scalability, and reliability. * Contribute to projects involving medical imaging, image annotation technologies, model optimization, workflow automation, and emerging AI methodologies such as federated learning. * Support automated testing initiatives and help maintain high software quality standards across developed functionalities. Potential project areas may include: * Medical imaging quality control and automated MRI validation. * Deep learning model optimization and deployment. * Image annotation tools and continuous learning workflows. * Federated learning and privacy\-preserving AI. * Scientific image processing and workflow automation. * Development of scalable AI\-driven capabilities within Pipeline Pilot. ### ### **Qualifications** **Education** * Currently pursuing a Master's or PhD degree in Computer Science, Data Science, Electrical Engineering, Biomedical Engineering, or a related technical discipline. * Must remain actively enrolled in