Senior Computer Vision Engineer: Real-Time Vision AI

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary package

Health and wellness programs

Opportunities for professional growth

Exposure to innovative projects

Job summary

Placements24 is seeking a skilled Computer Vision Engineer to join its R&D team in Richards Bay, KwaZulu-Natal. You will develop advanced visual AI systems, prototyping to deployment, tackling real-world challenges with state-of-the-art techniques.

The successful candidate will have strong Python/C++ skills, experience with OpenCV and DL frameworks, and a track record of delivering robust vision solutions in dynamic environments.

Qualifications

• Master's or Ph.D. in Computer Science, Electrical Engineering, or related field with a specialization in Computer Vision or Machine Learning.

Responsibilities

• Design and implement computer vision algorithms for object detection, segmentation, facial recognition, and pose estimation.
• Use TensorFlow or PyTorch to train neural networks for vision tasks.
• Process and analyze large image and video datasets.
• Develop and optimize real-time computer vision systems for various applications.
• Collaborate with hardware and software engineers to integrate vision systems into product pipelines.
• Conduct research into new computer vision techniques and technologies.
• Evaluate and benchmark the performance of developed models and algorithms.
• Document research findings, algorithms, and system designs.
• Contribute to the continuous improvement of the computer vision technology stack.

Skills

Python

C++

Deep learning

Image processing

Teamwork

Education

Master's or PhD in CS/EE with CV/ML specialization

Tools

OpenCV

TensorFlow

PyTorch

GPU programming

Job description

Placements24 is seeking a skilled Computer Vision Engineer to join its R&D team in Richards Bay, KwaZulu-Natal. You will develop advanced visual AI systems, prototyping to deployment, tackling real-world challenges with state-of-the-art techniques.

The successful candidate will have strong Python/C++ skills, experience with OpenCV and DL frameworks, and a track record of delivering robust vision solutions in dynamic environments.