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Sr Computer Vision / Machine Learning Engineer Location: Duration: 12Months+ Extension Hourly Rate: Depending on Experience (DOE) Work Authorization: Role: Sr Computer Vision / Machine Learning Engineer Contract period : 6 months to start and keeps extending / Conversion based on performance. Experience range : PhD with 2 years or MS with 4 years Requirement : PhD (2 years) or MS (4 years) in Computer Science or related fields focused on Computer Vision and Machine Learning Proven experience on developing deep learning models using Tensor Flow PyTorch, Keras and similar tools Strong computer vision fundamentals especially around object detection and tracking, 2D/3D Multiview, and segmentation Strong hands-on experience in deep learning frameworks such as TensorFlow, Pytorch, Keras Strong hands-on experience with Python/C++ Strong experience and understanding of modifying and applying supervised/un-supervised machine learning algorithms on visual data Hands on experience with OpenCV Strong understanding of machine learning, should be proficient at data analysis, training evaluation and fine tuning. Bonus Experience in Robotics, 3D Computer Vision, or AR/VR DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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