Senior Engineer / Engineer, Edge AI Application
- Assist in the execution of R&D project.
- Research and evaluate different embedded platform for AI computing.
- Develop system architectures for different edge AI applications.
- Implement deep learning algorithms in embedded systems.
- Graduate with a Bachelor’s, Master’s or Doctorate degree in Computer Science/Engineering, Electrical/Electronic Engineering, Information Engineering or relevant disciplines, including non-local graduate from a local university of Hong Kong.
- Experience in one or more of the following edge AI application developments: face recognition, object recognition, speech recognition, voice recognition, sentiment analysis, emotion detection, age and gender detection, or similar.
- Knowledgeable about application development in embedded system: single-board computer, AI development board, microcontroller board, or similar.
- Experience in using deep learning framework: TensorFlow/PyTorch/Caffee/Keras.
- Preferably with experience in using different types of vision and audio sensors.
- Preferably with knowledge of one or more of the following communication protocols: WiFi, NFC, BLE and UWB.
How to apply?
Interested parties please send your application to email@example.com by quoting reference number with detailed resume including current and expected salary by email.
Only short-listed candidates will be contacted.
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