Sr Computer Vision / Machine Learning Engineer

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters. Job OverviewJob ID: J37724
Specialized Area: Machine Learning
Job Title: Sr Computer Vision / Machine Learning Engineer
Location: To Be Discussed Later
Duration: 6 Months
Domain Exposure: Government, Education, IT/Software
Work Authorization: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Contract Period: 6 months to start and keeps extending / Conversion based on performance.
Experience Range: PhD with 2 years or MS with 4 years
Interview Process: 2 phone screens and 1 onsite
RequirementsPhD (2 years) or MS (4 years) in Computer Science or related fields focused on Computer Vision and Machine LearningProven experience in developing deep learning models using TensorFlow, PyTorch, Keras, and similar toolsStrong computer vision fundamentals, especially around object detection and tracking, 2D/3D Multiview, and segmentationStrong hands-on experience in deep learning frameworks such as TensorFlow, PyTorch, KerasStrong hands-on experience with Python/C++Strong experience and understanding of modifying and applying supervised/un-supervised machine learning algorithms on visual dataHands-on experience with OpenCVStrong understanding of machine learning, with proficiency in data analysis, training evaluation, and fine-tuningBonus: Experience in Robotics, 3D Computer Vision, or AR/VREqual Opportunity EmployerCLOUD ANALYTICS 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.

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