Develop and adapt advanced computer vision and state-of-the-art deep learning for object detection/ classification/ tracking, face recognition, scene understanding, and activity recognition applications
Analyze and optimize performance on diverse data sets
Design and architect practical systems for solving challenging image understanding problems
Implement computationally complex model training and image understanding applications on high performance computational processing environments
Work closely with an entrepreneurial team of experienced computer vision researchers and software engineers to successfully execute R&D projects and continue to grow our business
Requirements:
Bachelor's Degree in computer science or related field with at least 5 years relevant experience
Strong prog
amming in Python, Java, or C++
Independent analytical problem-solving skills
Experience with Deep Neural Network models like CNN, R-CNN, VGGNet, ResNet
Experience with Caffe or Tensorflow
Experience on using OpenCV, OpenGL, and DNN model tuning
Ability to translate customer requirements to development plan.