Edge AI & Computer Vision Engineer

PanoSense Tech Limited

Hong Kong

On-site

HKD 420,000 - 700,000

Full time

2 days ago
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Job summary

PanoSense Tech Limited in Hong Kong seeks a research-oriented AI engineer to develop and deploy algorithms for computer vision and edge AI inference on embedded platforms, collaborating with the hardware team.

You will train, optimize, and port models, track frontier AI technologies, write technical docs, and participate in technical reviews as part of a fast-moving product group. Requirements include a Master’s/PhD in STEM, ML/DL with PyTorch or TensorFlow, and Python proficiency.

Qualifications

  • Master's or PhD in STEM fields such as Computer Science, Electrical Engineering, Automation, Mathematics.
  • Solid foundation in machine learning / deep learning; proficient in PyTorch or TensorFlow.
  • Project experience in computer vision, NLP, or edge AI.
  • Proficient in Python; knowledge of C++ is a plus.
  • Good English reading skills for academic literature.
  • Eligible under Hong Kong RTH subsidy (STEM Master’s/PhD).

Responsibilities

  • Develop and deploy AI algorithms for computer vision and edge AI inference on embedded platforms.
  • Design, train, optimize, and deploy AI models.
  • Port and tune algorithms on embedded platforms in collaboration with the hardware team.
  • Track frontier AI technologies and evaluate their application in product scenarios.
  • Write technical documentation and participate in technical reviews.

Skills

Python proficiency
English reading
ML/DL fundamentals
Team collaboration

Education

Master's or PhD in Computer Science/EE/Math

Tools

PyTorch
TensorFlow
ONNX
TensorRT
Jetson
RKNN

Job description

PanoSense Tech Limited in Hong Kong seeks a research-oriented AI engineer to develop and deploy algorithms for computer vision and edge AI inference on embedded platforms, collaborating with the hardware team.

You will train, optimize, and port models, track frontier AI technologies, write technical docs, and participate in technical reviews as part of a fast-moving product group. Requirements include a Master’s/PhD in STEM, ML/DL with PyTorch or TensorFlow, and Python proficiency.

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