Artificial Intelligence Engineer

What skills & experience required

Develop and implement the most innovative computer vision solutions on image / video processing

Work with back-end and front-end developers as well as the product team

Keep current with latest trends and technologies, to continually improve computer vision systems

Programming fluency in Python, C / C++, OpenCV and programming on GPU

Normal to medium level experience with GPU technologies and frameworks CUDA, NVIDIA computer vision SDKs

Strong software, hardware, and systems development understanding necessary for building real-time computer vision applications

General understanding of computer vision concepts (Feature extraction, training regimes, multi-view geometry, bundle adjustment, SLAM etc)

Collaborative attitude with excellent verbal and written communication skills

Research existing research papers on CV, enhance existing Open Source models and incorporate novel techniques or create new algorithms from the ground up to solve complex use cases.

Ability to document design and document code, write unit tests

Proficient with Training of Detection, Classification & Segmentation Models with Tensorflow, PyTorch, MXNet etc

Normal to medium level experience with TDD (test driven development)

Openvino

It would be great if you have

Deep Learning knowledge within computer vision space (Object detection, re-identification, semantic segmentation)

Extensive experience of working on edge devices like Jetson Nano, Raspberry Pi and other GPU powered low computational devices.

Knowledge in multi-object tracking principles and multi-camera calibration.

Ability to apply deep learning to vision data, preferably direct experience with TensorFlow.

Knowledge of H264 / h265 & MPEG4 video standards, and experience with hardware compression engines, video processing pipelines.