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16 Weeks ago

Senior Data Scientist / Computer Vision Scientist

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Pune, Maharashtra, India
Information Technology
Alcon

Overview

Summary of the position:
Looking for scientist with a strong background in Computer Vision and Machine Learning, who aspire to be part of a Data Science & AI function in R&D. This role involves applying analytics and software skills for product development and process automation. Candidate must have proven experience in developing algorithms and designing digital solutions to solve real-world problems. Advanced knowledge in modern image & video processing is highly desirable. This is an ideal opportunity for individuals with a passion for applying AI/ML in the health-care sector.
Preferred Requirements:
  • Bachelors, M.S. (preferred) or Ph.D. (preferred) in Computer Vision, Robotics, Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, Applied Optics, or related quantitative fields.
  • Proven experience in applying advanced quantitative methods to solve real-world problems in the medical device industry or equivalent industry and/or academic experience.
  • Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and software development for Medical Device
  • Good working knowledge on handling multi-modal data (e.g. image, video stream, text)
  • Good working knowledge on applying and adapting state of the art Deep Learning models to solve 2D/3D computer vision problems.
  • Exceptional written and verbal communication skills and proven ability to collaborate effectively with multidisciplinary project teams is highly desirable.
Minimum Requirements:
  • Bachelor's Degree or equivalent
  • The ability to fluently read, write, understand and communicate in English.
  • 3+ years of hands-on working experience in applying AI/ML methods for real-world problem solving in the medical device industry or equivalent industry experience is preferred.
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Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, disability, or any other reason.
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