at Philips
Full TimeWe 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.
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.
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Bangalore–Embassy Business Hub, India
