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Data Scientist - Computer Vision
Job in
Rustenburg, 0202, South Africa
Listed on 2026-10-05
Listing for:
Placements24
Full Time
position Listed on 2026-10-05
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Computer Science
Job Description & How to Apply Below
Our client is seeking a skilled Data Scientist with a specialization in Computer Vision to join their innovative team in Rustenburg . This role is critical for developing and deploying advanced vision-based AI solutions that will transform various aspects of the business. You will leverage state-of-the-art deep learning techniques to extract meaningful insights from visual data, working closely with software engineers and domain experts.
This position offers the chance to work on challenging real-world problems and contribute to the forefront of AI innovation.
- Develop and implement computer vision algorithms using deep learning frameworks.
- Process and analyze large datasets of images and videos to train and evaluate models.
- Collaborate with cross-functional teams to define project requirements and deliverables.
- Deploy computer vision models into production environments, ensuring optimal performance.
- Stay abreast of the latest advancements in computer vision research and techniques.
- Master's degree or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Computer Vision.
- Demonstrated experience with deep learning models for image classification, object detection, segmentation, etc.
- Proficiency in Python and libraries like OpenCV, Tensor Flow, or PyTorch.
- Experience with data augmentation and model optimization techniques.
- Strong analytical and problem-solving skills for complex visual data challenges.
- Competitive salary with performance incentives.
- Comprehensive health and wellness programs.
- Support for professional growth, including workshops and courses.
- Access to high-performance computing infrastructure for research.
- A forward-thinking and collaborative research environment in Rustenburg.
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