Reading research papers and implementing state-of-the-art techniques
Rapidly extending publicly available code modules to work on custom problems
Software development of machine learning back-end
Rapid experimentation, analysis, and deployment of machine/deep learning models
Training and testing deep learning models at scale
Working on cutting-edge technology in object detection, object tracking, OCR in natural scenes, image classification, video analysis, and many more exciting techniques that form the basis of AI (artificial intelligence).
Skills Required:
Hands-on experience in deep/machine learning for computer vision of 2 years (extensive experience OpenCV, PyTorch, Tensorflow)
Hands-on experience in Python with 2 years of in-depth system building experience
