Machine Learning Engineer
AI Technologies LLC., Santa Clara, CA, United States
Job Overview
Job ID: J37968
Specialized Area: Python
Job Title: Machine Learning Engineer
Location: To Be Discussed Later
Duration: 10 Months
Domain Exposure: Manufacturing, Education, IT/Software
Work Authorization: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Job Title: Sr Computer Vision / Machine Learning Engineer
Requirement :
- 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
AI 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. AI 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 AI 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
Equal Opportunity Employer