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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*:

1. Development and Deployment
2. Testing
3. Documentation

Interview Process (Is face to face required?) No

Does this position require Visa independent candidates only? No