Computer Vision Engineer — Image & Video AI

Placements24; Klerksdorp; Híbrido; ZAR 700.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Bonus structure

Medical and retirement benefits

Generous vacation

Dynamic work environment

Descripción de la vacante

Placements24 is seeking a skilled Computer Vision Engineer to join its technology team in Klerksdorp. You will design, develop, and deploy computer vision algorithms for image and video analysis, and collaborate with software engineers to integrate modules into larger systems.

The role requires a Master's or PhD in CV-related field, 3–5 years hands-on experience, and proficiency in Python, C++, and libraries such as OpenCV, TensorFlow, and PyTorch.

Formación

• Master's or PhD in CS/EE with focus on computer vision.
• 3–5 years hands-on experience in developing computer vision applications.
• Proficiency in Python and C++, with OpenCV.
• Experience with GPU programming and optimization.

Responsabilidades

• Design, develop, and deploy computer vision algorithms for various applications.
• Implement and optimize deep learning models for image and video analysis.
• Work with large image datasets, including data augmentation and preprocessing.
• Collaborate with software engineers to integrate computer vision modules into larger systems.
• Evaluate and benchmark the performance of computer vision models and systems.
• Stay current with the latest research and advancements in the field of computer vision.

Conocimientos

Python

C++

OpenCV

TensorFlow

PyTorch

Image processing

GPU programming

Educación

Master's degree in CV-related field

Ph.D. in CV-related field

Herramientas

OpenCV

TensorFlow

PyTorch

Descripción del empleo

Placements24 is seeking a skilled Computer Vision Engineer to join its technology team in Klerksdorp. You will design, develop, and deploy computer vision algorithms for image and video analysis, and collaborate with software engineers to integrate modules into larger systems.

The role requires a Master's or PhD in CV-related field, 3–5 years hands-on experience, and proficiency in Python, C++, and libraries such as OpenCV, TensorFlow, and PyTorch.