Hybrid Computer Vision Engineer - AI for Autonomous Systems

Placements24

Gqeberha

Hybrid

ZAR 600,000 - 1,200,000

Full time

6 days ago
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Benefits offered by this job

Salary and bonus
Health benefits
Training opportunities
Hybrid work
Innovative projects exposure

Job summary

Placements24 is seeking a Computer Vision Engineer for a Port Elizabeth-based role in AI and emerging tech. You will develop and optimize vision algorithms for autonomous systems, robotics, and imaging, contributing to cutting-edge projects within a dynamic Eastern Cape team.

The role requires strong image processing, ML knowledge, and hands-on C++ and Python, with OpenCV, CUDA, and modern frameworks. You'll collaborate with hardware and robotics experts to deliver robust, real-time CV solutions

Qualifications

  • Master or PhD in CS/EE with a computer vision focus.
  • Proven CV algorithm development in real-world apps.
  • Strong C++ and Python programming skills required.

Responsibilities

  • Design and optimize computer vision algorithms for detection, tracking and scene interpretation.
  • Implement deep learning models using TensorFlow or PyTorch for real-time vision tasks.
  • Collaborate with hardware and robotics teams to integrate vision systems.
  • Analyze large image/video datasets for training and validation.

Skills

Computer Vision
C++ programming
Python programming
3D vision

Education

Master's or PhD in Computer Science or Electrical Engineering with CV specialization
PhD preferred in related field

Tools

OpenCV
CUDA
TensorFlow
PyTorch

Job description

Placements24 is seeking a Computer Vision Engineer for a Port Elizabeth-based role in AI and emerging tech. You will develop and optimize vision algorithms for autonomous systems, robotics, and imaging, contributing to cutting-edge projects within a dynamic Eastern Cape team.

The role requires strong image processing, ML knowledge, and hands-on C++ and Python, with OpenCV, CUDA, and modern frameworks. You'll collaborate with hardware and robotics experts to deliver robust, real-time CV solutions

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