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.
Nice to Have
- Experience with Medical Imaging (DICOM, CT, X-ray).
- Experience handling video/time-series data.
- Basic knowledge of C++ or model deployment (ONNX/TensorRT).
- Experience with 3D data processing.
Technical Stack
- C++
- Python
- Java
- PyTorch
- TensorFlow
- ONNX
- TensorRT
Team & Environment
You will collaborate with data scientists, software developers, and partners.
Work Mode
This is an onsite position.
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