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Detailed Job Description:

At least two - year experience with object detection and object recognition: Direct contributions to projects involving deep learning models At least one project involving state-of-the-art DNN models including MobileNet, GAN, Auto-encoder, ResNet, Yolo, VGG, DenseNet, etc. Face detection, face alignment and 3D face reconstruction Activity and gesture recognition Wide array of prediction and smoothing algorithms (Kalman filters, etc.) Object tracking algorithms Solutions for compensation of lighting variations, sensor error, and other faults Software engineers with at least one year of extensive hands-on experience with deep learning technologies Well versed in the state-of-the-art in computer vision, real time 2D and 3D data processing Well versed in relevant technologies for human-machine interaction At least two years of experience with data collection and sensing: Very strong skills in C++, at least 2 years of experience Very strong implementation skills using TensorFlow deep learning library Very strong skills in OpenCV Strong Android development experience Comfortable working with embedded systems and real-time operating systems, at least one year of experience Fluent working on and implementing algorithms on both Windows and Linux, at least one year experience on each

Minimum years of experience*: 5+

Certifications Needed: No

Top 3 responsibilities you would expect the Subcon to shoulder and execute*:

Development and Deployment Testing Documentation

Interview Process (Is face to face required?) No

Does this position require Visa independent candidates only? No