Involved in extensive research and problem solving that spans a number of areas including computer vision, machine learning, image processing and distributed computing; Research and development of computer vision and machine learning algorithms for object detection, recognition, segmentation, and tracking; Design, implement and deliver computer vision software systems to facilitate retail business; Build scalable solutions to some of the challenging recognition problems in computer vision and continuously improve performance of existing algorithms; Drive the design and development of computer vision algorithm and software applications implemented on cloud or edge infrastructures
Requirements:
Master degree with 3-year industrial experience or PhD degree with 1-year industrial experience; 5 years’ experience in building Computer vision/Machine Learning based models in a professional environment Proficiency in computer vision and deep learning algorithms such as object detection, image classification, image segmentation, and video analysis; Strong understanding of probability and statistical models (generative and descriptive models); Ability to run experiments scientifically and analyze results
Text:
Senior Data Scientist Involved in extensive research and problem solving that spans a number of areas including computer vision, machine learning, image processing and distributed computing; Research and development of computer vision and machine learning algorithms for object detection, recognition, segmentation, and tracking; Design, implement and deliver computer vision software systems to facilitate retail business; Build scalable solutions to some of the challenging recognition problems in computer vision and continuously improve performance of existing algorithms; Drive the design and development of computer vision algorithm and software applications implemented on cloud or edge infrastructures Master degree with 3-year industrial experience or PhD degree with 1-year industrial experience; 5 years’ experience in building Computer vision/Machine Learning based models in a professional environment Proficiency in computer vision and deep learning algorithms such as object detection, image classification, image segmentation, and video analysis; Strong understanding of probability and statistical models (generative and descriptive models); Ability to run experiments scientifically and analyze results
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