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Research Associate

1.00 to 2.00 Years   Bangalore   26 Mar, 2021
Philips
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryMedical / Healthcare
Functional AreaSales / BD,R&D / Product Design
EmploymentTypeFull-time

Job Description

nullYou are responsible for

  • Good knowledge and hands-on experience in Computer Vision, Reinforcement Learning with Q-Learning, DPO, Inverse Reinforcement learning, Behavioural cloning and Imitation Learning. Advanced generative AI models like GANS - generating medical images and Ground Truth.
  • Implement and improve quality assurance processes for increasingly complex data labelling, driving the optimization of annotation processes.
  • Work directly with engineers and Medical algorithms leadership. Own annotation policies that require an understanding of both technical and operational constraints.
  • Proficiency in standard workflow software (GIT, Azure DevOPs, JIRA, Agile Way of working, etc.)
  • Proven track record executing and meeting sensitive deadlines with limited resources
  • Agile Way of working
You are a part ofPhilips Research is a global organization that helps Philips introduce meaningful innovations that improve people s lives. We provide technological options for innovations in health and well-being, targeted at both developed and emerging markets. Positioned on the front-end of the innovation process, we work on everything from spotting trends and ideation to proof of concept and where needed first-of-a-kind product development.Research India is a key lab, developing innovative concepts and solutions in the areas of healthcare, informatics, cardiology, oncology, pregnancy, and parenting. These are enabled by advanced pattern recognition, deep learning, and AI technologies to modernize clinical diagnostics and healthcare industrialization.To succeed in this role, you should have the following skills and experience
  • The candidate must be Btech/M Tech/MS/Phd in computer science or electronics with research background
  • Proven expertise in conducting scientific research and building proof of concept solving research problems in AI and data science
  • Hands on experience with Python, C, R, Java having worked on imaging, NLP or numerical data and published publications
  • Strong theoretical knowledge of Machine learning, Statistics, Mathematical.
  • Hands-on experience in using and building new Image processing techniques, AI processing pipeline
  • Preference for Healthcare background, Platform AI asset creation, Cloud based technologies and end to end AI pipeline creation.
In return, we offer youA chance to serve a bigger purpose. At Philips, our mission to improve the lives of 3 billion people per year by 2030, and everyday we move closer to achieving our goal by creating cutting-edge solutions that lead to confident diagnosis, improved care, and increased quality of life for patients drive us. We enable our employees to create a legacy in life through their work and support their development through people-centric learning, total rewards and personalized development planning programs. Our business provides unique opportunities to develop cutting edge enterprise software solutions and deliver meaningful solutions in the healthcare space and this new position is a unique opportunity to shape the next generation solutions we are developing#LI-PHILINWhy should you join Philips Working at Philips is more than a job. It s a calling to create a healthier society through meaningful work, focused on improving 2.5 billion lives a year by delivering innovative solutions across the health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways. Learn more by watching this video.To find out more about what it s like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog. Once there,you can also learn about our recruitment process, or find answers to some of the frequently asked questions.,

Keyskills :
researchvalidationhplcdocumentationcalibrationproof of conceptquality assurance processesfront enddeep learningcomputer visioncomputer sciencemachine learningimage processingquality assurance

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