Computer Vision Engineer

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

About the Role

Our client, a forward-thinking technology company, is seeking a skilled Computer Vision Engineer to join their innovative research and development team in Richards Bay, KwaZulu-Natal . This role is crucial for developing and implementing advanced computer vision algorithms and systems that solve complex real-world problems. You will be involved in all phases of the development lifecycle, from research and prototyping to deployment and optimization. The ideal candidate will have a strong background in image processing, machine learning, and deep learning techniques applied to visual data. This is an exciting opportunity to work on cutting-edge projects that push the boundaries of visual AI and contribute to groundbreaking technological advancements. Join a collaborative team dedicated to creating intelligent visual systems.

Key Responsibilities

• Design, develop, and implement computer vision algorithms for tasks such as object detection, image segmentation, facial recognition, and pose estimation.
• Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) to build and 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.

Requirements

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
• 3+ years of practical experience in developing computer vision systems.
• Strong programming skills in Python and C++.
• Proficiency with computer vision libraries such as OpenCV.
• Hands‑on experience with deep learning frameworks (TensorFlow, PyTorch).
• Solid understanding of image processing techniques and principles.
• Experience with GPU programming and optimization is desirable.
• Familiarity with data augmentation techniques for image data.
• Excellent problem‑solving skills and attention to detail.
• Strong communication and teamwork abilities.

Benefits

• Competitive salary and benefits package.
• Performance-based bonuses.
• Health and wellness programs.
• Opportunities for professional growth and learning.
• Exposure to innovative projects and technologies in Richards Bay, KwaZulu-Natal .
• Retirement savings plan.
• Paid time off and holidays.