Real-Time Computer Vision Engineer (Edge AI)

Movel AI Pte. Ltd.

Johor Bahru

On-site

MYR 89,000 - 201,000

Full time

5 days ago
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Job summary

Movel AI Pte Ltd is seeking a mid to senior computer vision engineer to own the end-to-end vision stack for our automated match scoring system. You will work on real-world CV pipelines, from camera input to outputs for the scoring engine, collaborating with a small team and leadership.

The role offers a 4-month contract with potential extension into Phase 2, and a path to a longer-term role based on client needs and performance.

Qualifications

  • 3+ years of hands-on computer vision and machine learning experience.
  • Strong understanding of object detection, tracking, and video analytics.
  • Strong Python programming with PyTorch or TensorFlow.
  • Practical experience with OpenCV and computer vision techniques.
  • Experience building, training, evaluating, and debugging AI models.
  • Ability to work with large-scale video data.

Responsibilities

  • Design and build computer vision pipelines for real-world AI applications.
  • Develop and improve AI models to process video data and extract insights.
  • Work on camera calibration, spatial understanding, and real-time inference.
  • Train, evaluate, and optimise machine learning models using real-world datasets.
  • Analyse performance, identify failure cases, and improve system reliability.
  • Translate research ideas into practical solutions deployed in production environments.
  • Support deployment and collaboration with engineers and data teams.
  • Document architecture and performance improvements.

Skills

Computer vision
Python programming
English communication
Real-time inference
Problem solving

Tools

PyTorch
TensorFlow
OpenCV

Job description

Movel AI Pte Ltd is seeking a mid to senior computer vision engineer to own the end-to-end vision stack for our automated match scoring system. You will work on real-world CV pipelines, from camera input to outputs for the scoring engine, collaborating with a small team and leadership.

The role offers a 4-month contract with potential extension into Phase 2, and a path to a longer-term role based on client needs and performance.

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