At Philips, we are looking for a Senior AI Manager to lead the prototyping, development, and integration of deep learning models that solve meaningful clinical problems, with a focus on medical imaging and computer vision. You will manage the full lifecycle from algorithm adaptation to deployment, working closely with cross-functional teams.

What You'll Do

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.
Adapt state-of-the-art Computer Vision algorithms (e.g., U-Net, YOLO, Transformers) to medical X-ray/video data.
Help build the initial data infrastructure – cleaning data, defining annotation rules, and managing datasets for training.
Learn the specific domain knowledge of Interventional X-ray (Azurion) and clinical workflows on the job.

What We're Looking For

Bachelor’s degree or above in CS, EE, Biomedical Engineering, or related fields.
5+ years of experience in Computer Vision / Deep Learning.
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.