Philips is seeking an experienced Data Scientist specializing in AI for Computer Vision to join our team. In this role, you will develop, fine-tune, and optimize AI models for computer vision applications in healthcare, collaborating with cross-functional teams to deliver advanced solutions.
What You'll Do
- Explore and develop innovative Artificial Intelligence (AI) algorithms for healthcare applications.
- Create and refine AI algorithms for pre- and post-processing of images and videos from various imaging modalities.
- Develop and implement machine learning and deep learning techniques for segmentation, classification, and statistical modeling.
- Design, train, and fine-tune deep learning models for real-world computer vision applications.
- Gather, clean, and preprocess large-scale image and video datasets for training and evaluation.
- Conduct A/B testing and assess model performance using quantitative metrics like IoU, mAP, precision, and recall.
- Stay updated with the latest advancements in computer vision, deep learning, and related technologies.
- Work with ML engineers to deploy models into production environments using cloud platforms like AWS and Azure and relevant frameworks.
- Work closely with cross-functional teams to integrate computer vision solutions into business processes.
What We're Looking For
- A Bachelor’s or master’s Degree in Computer Science, AI, Data Science, Machine Learning, or a related field.
- 3+ years of experience in machine learning, deep learning, or AI research.
- At least 1 year of hands-on experience developing computer vision-based AI applications.
- Strong proficiency in Python and ML frameworks like TensorFlow and PyTorch.
- Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment.
Nice to Have
- Knowledge of computer vision, natural language processing (NLP), or multimodal AI applications.
- Familiarity with computer vision techniques and fine-tuning of models.
- Hands-on experience with MLOps tools like MLflow, Kubeflow, Docker, or Kubernetes.
- Understanding of ethical AI and bias mitigation in computer vision models.
- A strong publication record or contributions to open-source AI projects.
Technical Stack
- Languages & Frameworks: Python, TensorFlow, PyTorch, Keras, OpenCV
- Tools: Git
- Cloud Platforms: AWS, Azure
- MLOps: MLflow, Kubeflow, Docker, Kubernetes
Team & Environment
You will work closely with cross-functional teams including machine learning engineers, software developers, and product managers.
Work Mode
This role follows a hybrid work model.
Philips is an equal opportunity employer.
