Real-Time Computer Vision Engineer for Smart Cities

re-zoo-me

Singapore

On-site

SGD 90,000 - 130,000

Full time

7 days ago
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Job summary

Sensen.ai in Singapore is seeking a Computer Vision Engineer to build production-grade video analytics for smart city deployments across Southeast Asia. You’ll design, implement, and optimize real-time CV solutions in Python and C++, and integrate with web services using ASP.NET.

Join a hands-on team that collaborates with product, sales, and customer success to deploy at customer sites, iterate on prototypes, and push state-of-the-art deep learning techniques for traffic management and public

Qualifications

  • Strong programming in Python and C++.
  • Solid understanding of CV fundamentals and techniques.
  • Experience with deep learning concepts and models.
  • Familiarity with ASP.NET or willingness to learn web development.
  • Knowledge of ML frameworks like TensorFlow or PyTorch.

Responsibilities

  • Design and develop computer vision apps for video analytics and smart city deployments.
  • Build prototypes and proofs-of-concept for Southeast Asia projects.
  • Implement and optimize deep learning models for real-time video processing.
  • Develop Python and C++ software for high-performance AI applications.
  • Work with web applications and APIs using ASP.NET for system integration.
  • Collaborate with cross-functional teams and deploy solutions at customer sites.
  • Document specifications and create demonstrations for stakeholders.

Skills

Python
C++
Computer vision fundamentals
Deep learning
Image processing
Video analysis

Education

Bachelor's/Master's in CS/CE/EE

Tools

ASP.NET
TensorFlow
PyTorch

Job description

Sensen.ai in Singapore is seeking a Computer Vision Engineer to build production-grade video analytics for smart city deployments across Southeast Asia. You’ll design, implement, and optimize real-time CV solutions in Python and C++, and integrate with web services using ASP.NET.

Join a hands-on team that collaborates with product, sales, and customer success to deploy at customer sites, iterate on prototypes, and push state-of-the-art deep learning techniques for traffic management and public

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