R&D Computer Vision Lead

Responsibilities

• Lead a highly motivated team of R&D AI Team.
• Development and Integration of computer vision using deep learning.
• Research of new computer vision methods and applications using deep learning and other AI technologies.

Requirements

• B.Sc. Degree in Computer Science or Engineering & M.S. preferred.
• Experience leading applied research team with dated deliverables.
• At least 7-10 years research experience using Tensorflow, TensorRT, Matlab, Cafe or similar tools.
• Research experience in computer vision/video analytics models and knowledge of detection, tracking, recognition and analytics.
• Training experience of deep learning models for computer vision algorithms on neural networks.
• Strong background in image processing, machine learning, neural networks, optimization algorithms.
• Knowledge of Object detection, people count, face recognition, anomaly detection, video search and feature extraction algorithms.
• Working knowledge with GPU programming & optimization techniques.
• Good programming knowledge of C/C++, python and Java.

Good To Have

• Exposure to OpenVino optimization is a plus
• Exposure to Nvidia Metropolis, DeepStream and other tools is a plus.
• Working experience with computer vision open-source models.
• Performance optimization experience to reduce the amount of hardware used by an AI model.
• Exposure to OpenCV, ffmpeg, or other video and imaging tools.
• Knowledge of video coding standards such as MPEG4, H264, and H265.