Computer Vision Engineer – Image & Video AI

Placements24; Polokwane; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Annual bonus

Medical benefits

Retirement benefits

Professional development

Job summary

Placements24 in Polokwane is seeking a talented Computer Vision Engineer to join our innovative technology team. You will develop and implement advanced CV algorithms for image and video analysis, and help bring AI applications to production.

The ideal candidate has strong Python and C++ skills, hands-on experience with OpenCV and deep learning frameworks (TensorFlow or PyTorch), and a solid grasp of image processing and ML fundamentals.

Qualifications

• Bachelor's or Master's degree in CS, EE, or related field with focus on computer vision or machine learning.
• Strong programming skills in Python and C++.
• Experience with computer vision libraries such as OpenCV, and deep learning frameworks like TensorFlow or PyTorch.
• Solid understanding of image processing techniques and machine learning principles.
• Ability to work effectively in a team and contribute to challenging technical projects.

Responsibilities

• Design, develop, and optimize computer vision algorithms for image and video analysis.
• Implement solutions for tasks such as object detection, image segmentation, and facial recognition.
• Integrate computer vision models into larger AI systems and applications.
• Conduct experiments, analyze results, and iterate on models to improve performance and accuracy.
• Collaborate with software engineers and data scientists to deploy vision systems into production.

Skills

Python

C++

OpenCV

TensorFlow

PyTorch

Image processing

Machine learning

Team collaboration

Education

Bachelor's or Master's in CS/EE with CV focus

Tools

OpenCV

TensorFlow

PyTorch

Job description

Placements24 in Polokwane is seeking a talented Computer Vision Engineer to join our innovative technology team. You will develop and implement advanced CV algorithms for image and video analysis, and help bring AI applications to production.

The ideal candidate has strong Python and C++ skills, hands-on experience with OpenCV and deep learning frameworks (TensorFlow or PyTorch), and a solid grasp of image processing and ML fundamentals.