Real-Time Edge AI Vision Engineer

AZTECH TECHNOLOGIES PTE. LTD.

Singapore

On-site

SGD 90,000 - 140,000

Full time

10 days ago

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Job summary

AZTECH TECHNOLOGIES PTE. LTD. is seeking an AI Engineer (Computer Vision) to bring AI and computer vision into real-world applications.

You will deploy models on edge devices, process live video, and integrate outputs with APIs and dashboards. The role combines software, AI and hardware across cameras, GPUs and Linux environments. The ideal candidate has a degree in CS/CE/AI, strong Python skills, OpenCV experience, and familiarity with RTSP and real-time video processing.

Qualifications

  • Degree in Computer Science, Computer Engineering, AI or a related field.
  • Proficiency in Python.
  • Hands-on experience with OpenCV and video processing.
  • Experience deploying applications on a Linux environment.
  • Understanding of RTSP and real-time video processing.

Responsibilities

  • Deploy and integrate computer vision and AI models on edge devices and GPU systems.
  • Build and maintain real-time video processing applications.
  • Connect video streams from IP cameras, NVRs and other camera systems.
  • Work with AI models using PyTorch, ONNX and TensorRT.
  • Improve system performance including speed, latency and multi-camera processing.
  • Deploy solutions on platforms such as Jetson, industrial PCs and GPU servers.
  • Connect AI results to APIs, databases, dashboards and alarm systems.
  • Troubleshoot issues across video, software, hardware, networking and system performance.
  • Develop reusable tools and components for video streaming, AI inference and monitoring.

Skills

Python
Video processing

Education

Bachelor's degree in Computer Science/Computer Engineering/AI or related field

Tools

OpenCV
Linux

Job description

AZTECH TECHNOLOGIES PTE. LTD. is seeking an AI Engineer (Computer Vision) to bring AI and computer vision into real-world applications.

You will deploy models on edge devices, process live video, and integrate outputs with APIs and dashboards. The role combines software, AI and hardware across cameras, GPUs and Linux environments. The ideal candidate has a degree in CS/CE/AI, strong Python skills, OpenCV experience, and familiarity with RTSP and real-time video processing.

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