Data Scientist - Computer Vision

We are seeking an experienced Data Scientist specializing in AI for Computer Vision to join our dynamic team. Your primary responsibilities will include developing, fine-tuning, and optimizing AI models for computer vision applications, driving innovation in various healthcare applications. You will work closely with cross-functional teams, including machine learning engineers, software developers, and product managers, to deliver state-of-the-art AI solutions.

Your role:

• 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, focusing on data from various imaging modalities

• Develop and implement machine learning and deep learning techniques for segmentation, classification, and statistical modeling.

• Demonstrate expertise in image processing, object detection, segmentation, and classification.

• Proficient in Python programming

• Possess a strong understanding of algorithms and frameworks such as TensorFlow, PyTorch, and Keras

• Experienced with version control systems (e.g., Git) and software development practices

• Develop and Optimize Computer Vision Models: Design, train, and fine-tune DL models for real-world applications

• Data Preparation & Engineering: Gather, clean, and preprocess large-scale image and video datasets for training and evaluation of computer vision models

• Experimentation & Model Evaluation: Conduct A/B testing and assess model performance using quantitative metrics (e.g., IoU, mAP, precision, recall)

• Research & Innovation: Stay updated with the latest advancements in computer vision, deep learning, and related technologies

• Deployment & Scaling: Work with ML engineers to deploy models into production environments using cloud platforms (AWS, Azure) and frameworks like TensorFlow, PyTorch, and OpenCV

• Collaboration & Communication: Work closely with cross-functional teams to integrate computer vision solutions into business processes and applications.

You're the right fit if:

• Bachelor’s or master’s Degree: In computer science, AI, Data Science, Machine Learning, or a related field

• Experience: 3+ years in machine learning, deep learning, or AI research, with at least 1 year of hands-on experience in developing computer vision-based AI applications

• Programming Proficiency: Strong proficiency in Python and ML frameworks like TensorFlow and PyTorch

• Domain Knowledge: Knowledge of computer vision, natural language processing (NLP), or multimodal AI applications

• Technical Skills: Familiarity with computer vision techniques and fine-tuning of models

• Problem-Solving Skills: Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment

• MLOps Tools: Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes)

• Ethical AI: Understanding of ethical AI and bias mitigation in computer vision models.

• Publications and Contributions: Strong publication record or contributions to open-source AI projects.

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.

this role is an office role.

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

.

#LI-EU

#LI-Hybrid

#LI-PHILIN