Data Scientist - AI for Computer Vision

Bangalore–Embassy Business Hub, India

Philips

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Job Title

Data Scientist - AI for Computer Vision

Job Description

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. 
 

Responsibilities:

  • Proficient with computer vision, image processing concepts, theories, techniques

  • Explore and develop innovative Artificial Intelligence (AI) algorithms for healthcare applications.

  • Design, train, and fine-tune Deep Learning models for various healthcare applications on data from various imaging modalities.

  • Gather, clean, and preprocess large-scale image and video datasets for training and evaluation of computer vision models

  • 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.

  • Have a strong affinity with statistical modeling and robust experimental designs

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

Good to Have

  • 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.

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

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

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



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: 5+ years in machine learning, deep learning, or AI research, with at least 3 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.

  • 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.



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 commitment to diversity and inclusion here.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Classification Computer Science Computer Vision Deep Learning Docker Git Keras Kubeflow Kubernetes Machine Learning MLFlow MLOps NLP OpenCV Open Source Python PyTorch Research Statistical modeling Statistics TensorFlow

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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