Your role:

　　Leading algorithm development for state-of-the-art medical imaging systems, overall responsibility for the algorithm tasks in the product.

　　Implementation of new algorithmic modules, focusing on computer vision and artificial intelligence.

　　Data Science and Data Analytics: Deep Learning data preparation; Design of Deep Learning Networks for Classification, Segmentation, and Tracking algorithms; implementation of models in a production environment.

　　We are solving complex computer vision problems, maintaining, testing, and analyzing algorithmic components.

　　You're the right fit if:

　　At least B.Sc. in Exact Sciences (Computer Sciences, Electrical /Electrooptical Engineering, Mathematics, Physics, Biomedical Engineering).

　　At least 5 years of algorithms development practical experience in Computer Vision, Machine Learning, and Deep Learning.

　　Strong ability for an independent end-to-end implementation of algorithm solutions: problem analysis and definition, mathematical solution, and code implementation.

　　Strong programming capabilities and experience.

　　Experience in Python and C++ Experience in OpenCV

　　Motivated, creative, and a self-learner.

　　Ability and willingness to work both independently and in a team.

　　Fluent English

　　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 (https://www.philips.com/a-w/about.html) .

　　• Discover our rich and exciting history (https://www.philips.com/a-w/about/our-history.html) .

　　• Learn more about our purpose (https://www.philips.com/a-w/about/environmental-social-governance/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 (https://www.careers.philips.com/global/en/diversity-and-inclusion) .

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