Computer Vision Engineer

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Salary + bonus

Health benefits

Generous PTO

Professional development

Innovative team

Job summary

Placements24 in Richards Bay is seeking a Computer Vision Engineer to join our innovative product development team. You will design, build, and deploy algorithms that enable machines to interpret images and video, working on large-scale datasets to advance our AI products.

The role requires a strong background in C++ and Python, hands-on experience with OpenCV and deep learning frameworks, and a passion for pushing the boundaries of computer vision in real-time systems.

Qualifications

• Bachelor's or Master's degree in CS, EE, or related field with CV focus.
• 2+ years hands-on experience in developing and deploying computer vision systems.
• Proficiency in C++ and Python with libraries such as OpenCV, Keras, PyTorch, TensorFlow.
• Solid understanding of image processing techniques and machine learning principles.
• Experience with deep learning architectures for CV tasks (CNNs, RNNs).
• Familiarity with GPU acceleration and parallel computing is a plus.

Responsibilities

• Develop and optimize computer vision algorithms for tasks such as object detection, image segmentation, and facial recognition.
• Implement deep learning models for computer vision applications using frameworks like TensorFlow or PyTorch.
• Process and manage large datasets of images and videos for model training and validation.
• Integrate computer vision modules into larger AI systems and applications.
• Collaborate with software engineers to deploy and test vision models in real-time environments.
• Stay current with advancements in computer vision research and apply new techniques to improve system performance.

Skills

C++

Python

Image processing

Machine learning

Education

Bachelor's or Master’s degree in CS/EE with CV focus

Tools

OpenCV

Keras

PyTorch

TensorFlow

Job description

Our client is seeking a talented Computer Vision Engineer to join their innovative product development team in Richards Bay . This role is central to developing and implementing cutting-edge visual recognition and analysis systems that power our advanced AI products. You will be responsible for designing, building, and deploying sophisticated algorithms that enable machines to 'see' and interpret the world around them, contributing directly to enhanced product capabilities and user experiences. This is an exciting opportunity to work with large-scale image and video datasets, tackle complex visual challenges, and contribute to the growth of AI-driven solutions in a collaborative and forward-thinking company.

Key Responsibilities

• Develop and optimize computer vision algorithms for tasks such as object detection, image segmentation, and facial recognition.
• Implement deep learning models for computer vision applications using frameworks like TensorFlow or PyTorch.
• Process and manage large datasets of images and videos for model training and validation.
• Integrate computer vision modules into larger AI systems and applications.
• Collaborate with software engineers to deploy and test vision models in real-time environments.
• Stay current with advancements in computer vision research and apply new techniques to improve system performance.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision.
• 2+ years of hands-on experience in developing and deploying computer vision systems.
• Strong proficiency in C++ and Python, with experience in relevant libraries (OpenCV, Keras, PyTorch, TensorFlow).
• Solid understanding of image processing techniques and machine learning principles.
• Experience with deep learning architectures for computer vision tasks (CNNs, RNNs).
• Familiarity with GPU acceleration and parallel computing is a plus.

Benefits

• Competitive salary and annual bonus structure.
• Comprehensive health and wellness benefits package.
• Generous paid time off and opportunities for professional development.
• Exposure to advanced AI technologies and challenging projects.
• A dynamic and collaborative team environment fostering innovation.