Computer Vision Engineer
Remote / Online - Candidates ideally in
East London, 5201, South Africa
Listed on 2026-09-23
East London, 5201, South Africa
Listing for:
Placements24
Remote/Work from Home
position Listed on 2026-09-23
Job specializations:
-
Software Development
Computer Science, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
About the Role
Our client is seeking a talented and experienced Computer Vision Engineer to join their innovative AI team in East London . You will be responsible for developing and implementing advanced computer vision algorithms and systems for a variety of applications, including image analysis, object detection, and scene understanding. This role requires a strong background in machine learning, deep learning, and image processing, combined with practical experience in building and deploying vision-based solutions.
The ideal candidate is passionate about pushing the boundaries of visual intelligence and contributing to cutting-edge AI projects.
- Design, develop, and implement computer vision algorithms and models using deep learning techniques.
- Build and train systems for tasks such as image classification, object detection, segmentation, and tracking.
- Process and analyze large image and video datasets to extract meaningful information.
- Optimize computer vision models for real-time performance and deployment on various platforms.
- Collaborate with cross‑functional teams to integrate computer vision solutions into products and services.
- Stay current with the latest research and advancements in the field of computer vision.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision.
- 3+ years of hands‑on experience in computer vision development.
- Strong proficiency in Python and relevant libraries (e.g., OpenCV, Tensor Flow, PyTorch).
- Deep understanding of deep learning architectures for vision tasks (CNNs, Transformers).
- Experience with image and video processing techniques.
- Proven ability to work on complex projects and deliver robust solutions.
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth and continuous learning.
- Remote work flexibility.
- Work on exciting and challenging computer vision projects.
- A collaborative and innovative work culture that values expertise.
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