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Data Science
RIT Solutions, Inc. - Bentonville, Arkansas, United States, 72712 2 days ago
Data Science
Bentonville, AR - Initially RemoteWe're looking for an incredible Senior Data Scientist with Machine Learning Ex. AND...
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Data Science
Syntricate Technologies - Cupertino, California, United States, 95014 2 days ago
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Toolbx - Fort Lauderdale, Florida, us, 33336 1 days ago
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Automation Technologies LLC - Plano, Texas, us, 75086 2 days ago
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Toolbx - Washington, District of Columbia, us, 20022 1 days ago
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SynergisticIT - Chicago, Illinois, United States, 60601 1 days ago
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US Foods - Streator, Illinois, United States, 61364 2 days ago
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Go to next pageRIT Solutions, Inc. - Bentonville, Arkansas, United States, 72712
Work at RIT Solutions, Inc.
Data Science
Bentonville, AR - Initially Remote
We're looking for an incredible Senior Data Scientist with Machine Learning Ex. AND
DEPLOYMENT OF PYTHON WORKFLOWS.
*Team Supports:
What you'll do:
Int'l merchandising. anything that goes on the shelf. and forecasting.
*In charge of last mile and middle mile delivery.
Issues:
Lack of ML Engineers. Data scientist on his team do not know how to build API's
Involve 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 Actively attend premier conferences and events in the community Design, implement and deliver computer vision software systems to facilitate retail business Build scalable solutions to some of the challenging recognitionproblems 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.
Maintain substantial knowledge of state-of-the-art principles and theories related to computer vision.
Serve as technical lead in vision area and work closely with other data scientists, software engineers, product managers and operations to create high quality and highly performing solutions.
See details and apply
Data Science