**You are responsible for** + Prototyping & Development: Rapidly design and train deep learning models (Proof of Concepts) to solve clinical problems, such as anatomical segmentation, object detection, and image enhancement. + Design and manage the integration of AI models and algorithms into existing software platforms and business operations. + Collaborate with data scientists, software developers, and partners to translate AI capabilities into scalable solutions. + Develop and maintain integration frameworks and tools that support efficient deployment and operation of AI models. + Monitor and evaluate the performance of integrated AI solutions, making recommendations for improvements and optimizations. + Implement best practices for AI integration, ensuring compliance with industry standards and data privacy regulations. + Create and maintain detailed documentation for integration processes, system configurations, and technical specifications. + Algorithm Adaptation: Adapt state-of-the-art Computer Vision algorithms (e.g., U-Net, YOLO, Transformers) to medical X-ray/video data. + Data Pipeline: Help build the initial data infrastructure – cleaning data, defining annotation rules, and managing datasets for training. + Continuous Learning: Learn the specific domain knowledge of Interventional X-ray (Azurion) and clinical workflows on the job. **To succeed in this role, you should have the following skills and experience** **Minimum Qualifications:** + Education: Bachelor’s degree or above in CS, EE, Biomedical Engineering, or related fields. + Experience: 5+ years of experience in Computer Vision / Deep Learning. (We are open to candidates from non-medical backgrounds like security, industrial inspection, or autonomous driving). + Strong technical skills with object-oriented software programming (e.g., C++, Python, Java) and prefer large-scale software architecture design. + Strong proficiency in Python and PyTorch (or TensorFlow). + Solid experience with standard CV tasks: Segmentation, Object Detection, or Classification. + Ability to read papers and reproduce results in code. + Exceptional problem-solving skills with keen attention to detail. **Desired Qualifications:** + Experience with Medical Imaging (DICOM, CT, X-ray) is a plus + Experience handling video/time-series data (because our data is dynamic). + Basic knowledge of C++ or model deployment (ONNX/TensorRT) is a plus. + Experience with 3D data processing. **Skills:** + Demonstrated experience collaborating across clinical, product, and engineering teams to deliver AI solutions. + Strong communication skills in both English and Chinese. + Ability to translate clinical requirements into technical specifications. + Strong leadership, mentoring, and influence skills within multi-disciplinary teams. + Ability to present complex AI concepts clearly to stakeholders and clinicians. **How we work together** We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. Indicate if this role is an office/field/onsite role. **About Philips** We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. * Learn more about our business. * Discover our rich and exciting history. * Learn more about our purpose. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.