Computer Vision Engineer - Object Detection and Tracking

Our client, a rapidly growing technology firm, is seeking a talented Computer Vision Engineer to join their innovative team in Richards Bay, Kwa Zulu-Natal . This role focuses on the development and implementation of advanced computer vision algorithms, particularly in the areas of object detection, tracking, and recognition. You will work on challenging projects that involve analyzing and interpreting visual data from various sources, contributing to the creation of intelligent systems for diverse applications.

The position requires a strong foundation in computer vision principles, machine learning, and deep learning techniques. You will be an integral part of a dedicated engineering team, collaborating to solve complex problems and push the boundaries of visual AI. This is an exciting opportunity to contribute to impactful projects within the dynamic landscape of AI and computer vision in Richards Bay .

• Design, develop, and implement computer vision algorithms for object detection, tracking, segmentation, and recognition.
• Utilize deep learning frameworks (e.g., Tensor Flow, PyTorch) to build and train advanced CV models.
• Process and analyze large image and video datasets, ensuring data quality and integrity.
• Optimize algorithms for real-time performance and deployment on edge devices or cloud platforms.
• Collaborate with software engineers to integrate CV models into production systems.
• Conduct research on state-of-the-art computer vision techniques and contribute to R&D efforts.
• Evaluate model performance, identify limitations, and implement improvements.
• Document technical specifications, research findings, and implementation details.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a focus on Computer Vision or Machine Learning.
• Proven experience in developing and deploying computer vision solutions.
• Strong understanding of core CV concepts such as feature extraction, image processing, and geometric vision.
• Proficiency in programming languages like Python and C++.
• Hands‑on experience with deep learning frameworks (Tensor Flow, PyTorch) and libraries like OpenCV.
• Familiarity with object detection models (e.g., YOLO, Faster R‑CNN) and tracking algorithms.
• Experience with data augmentation, model optimization, and transfer learning techniques.
• Ability to work effectively in a team environment and strong problem‑solving skills.
• Knowledge of cloud platforms (AWS, GCP, Azure) is a plus.

• Competitive contract rate commensurate with experience.
• Opportunity to work on cutting‑edge AI projects.
• Exposure to a wide range of computer vision applications.
• Professional development opportunities.
• Collaborative team environment.