Idaho Occupational Therapy Associaton
Sr Computer Vision / Machine Learning Engineer
Idaho Occupational Therapy Associaton, California, Missouri, United States, 65018
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 Overview
Job 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:
2 phone screens and 1 onsite Requirements
PhD (2 years) or MS (4 years) in Computer Science or related fields focused on Computer Vision and Machine Learning Proven experience in developing deep learning models using TensorFlow, 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 Cloud Hybrid 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. Cloud Hybrid 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.
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Job 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:
2 phone screens and 1 onsite Requirements
PhD (2 years) or MS (4 years) in Computer Science or related fields focused on Computer Vision and Machine Learning Proven experience in developing deep learning models using TensorFlow, 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 Cloud Hybrid 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. Cloud Hybrid 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.
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