AI Research Engineer - Computer Vision (On-site)

Placements24; Benoni; On-site; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Health benefits

Conference/workshop support

State-of-the-art facilities

Job summary

Placements24 seeks an AI Research Engineer with a focus on Computer Vision to advance state-of-the-art algorithms and models in a on-site Benoni environment. You will work within a dedicated research team to prototype, evaluate, and optimize vision systems for real-world applications including detection and recognition tasks.

You should have strong theoretical ML foundations and hands-on experience with CNNs, Python, and popular frameworks, plus the ability to collaborate across software and

Qualifications

• Master's or PhD in CS/EE/AI with CV specialization.
• Minimum 3 years of research and development in computer vision and deep learning.
• Strong programming in Python with TensorFlow/PyTorch/Keras.

Responsibilities

• Design, develop, and implement advanced computer vision algorithms and deep learning models.
• Research new approaches for image analysis, object detection, tracking, and recognition.
• Implement and fine-tune CNNs and other deep learning architectures for vision tasks.
• Process and augment large image/video datasets for model training.
• Optimize model performance for efficiency and accuracy on various hardware.

Skills

Python

Deep learning

CNNs

OpenCV

Image processing

Team collaboration

Education

Master's or PhD in Computer Science/EE/AI (CV specialization)

Tools

TensorFlow

PyTorch

Keras

OpenCV

Job description

About the Role

Our client, a leader in innovative AI solutions for various industries, is seeking a talented AI Research Engineer specializing in Computer Vision. This role is primarily based on-site in **Benoni, Gauteng**, fostering close collaboration and rapid prototyping within a dedicated research environment. You will be at the forefront of developing and implementing cutting‑edge computer vision algorithms for applications such as object detection, image segmentation, and facial recognition. The ideal candidate will possess a strong theoretical understanding of deep learning, convolutional neural networks (CNNs), and extensive practical experience in implementing and optimizing vision models. This is a unique opportunity to contribute to groundbreaking AI research and development, working with a team of highly skilled engineers and researchers.

Key Responsibilities

• Design, develop, and implement advanced computer vision algorithms and deep learning models.
• Conduct research into new approaches for image analysis, object detection, tracking, and recognition.
• Implement and fine‑tune CNNs and other deep learning architectures for specific vision tasks.
• Process and augment large image and video datasets for model training.
• Optimize model performance for efficiency and accuracy on various hardware platforms.
• Collaborate with software engineers to integrate research prototypes into production systems.
• Stay current with the latest research papers, trends and advancements in computer vision and AI.
• Document research findings, methodologies, and code thoroughly.
• Present research progress and results to internal teams and stakeholders.

Requirements

• Master's or PhD degree in Computer Science, Electrical Engineering, AI, or a related field with a specialization in Computer Vision.
• Minimum of 3 years of research and development experience in computer vision and deep learning.
• Strong programming skills in Python, with extensive experience using deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Proficiency with computer vision libraries such as OpenCV.
• Solid understanding of image processing techniques, pattern recognition and machine learning principles.
• Experience with data annotation and dataset management.
• Excellent analytical, problem‑solving, and debugging skills.
• Strong communication and teamwork abilities for effective collaboration within the research team.
• Prior experience working within the technological innovation sector in **Benoni, Gauteng** is a plus.

Benefits

Our client offers a competitive salary, comprehensive health and wellness benefits, and performance‑based bonuses. Employees have access to state‑of‑the‑art research facilities and equipment. We provide opportunities for continuous learning, including support for attending relevant conferences and workshops. Join a dynamic and innovative team dedicated to pushing the boundaries of artificial intelligence and computer vision.