Computer Vision Engineer

Placements24; Sandton; Híbrido; ZAR 900 000 - 1 500 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary and bonus

Medical, retirement, and insurance

Professional development support

Access to advanced computing resources

Generous paid time off

Resumo da oferta

Placements24 in Sandton is seeking a highly skilled Computer Vision Engineer to join its R&D team. You will design, implement, and optimize vision algorithms for object detection, recognition, and AR applications, working with large image and video datasets.

The role requires a Master's or PhD in a CV-related field, strong Python/C++ skills, and experience with OpenCV, TensorFlow, and PyTorch. You will collaborate with engineers and data scientists to deploy real-time vision systems.

Qualificações

• Master's or PhD in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision.
• Proven experience in developing and deploying computer vision algorithms.
• Proficiency in Python and C++, with libraries such as OpenCV and scikit-image.

Responsabilidades

• Design, develop, and optimize computer vision algorithms for various applications.
• Implement solutions for image processing, object detection, tracking, segmentation, and recognition.
• Work with large image and video datasets, ensuring efficient data handling and annotation processes.
• Integrate computer vision models into real-time systems and applications.
• Collaborate with software engineers and data scientists to deploy and refine vision models.
• Stay up-to-date with the latest advancements and research in computer vision and deep learning.

Conhecimentos

Python

C++

OpenCV

TensorFlow

PyTorch

Image processing

Object detection

Teamwork

Formação académica

Master's or PhD in Computer Science / Electrical Engineering with CV focus

Ferramentas

scikit-image

OpenCV

TensorFlow

PyTorch

Descrição da oferta de emprego

About the Role

Our client is looking for a creative and skilled Computer Vision Engineer to join their innovative R&D team in Sandton. This role focuses on developing and implementing cutting-edge computer vision algorithms and systems that analyze and interpret visual information. You will contribute to projects ranging from object detection and image recognition to augmented reality and advanced imaging applications. This is an exciting opportunity to work with state-of-the-art technologies and contribute to impactful solutions in a dynamic and growing field, collaborating with a team of experts passionate about visual AI.

Key Responsibilities

• Design, develop, and optimize computer vision algorithms for various applications.
• Implement solutions for image processing, object detection, tracking, segmentation, and recognition.
• Work with large image and video datasets, ensuring efficient data handling and annotation processes.
• Integrate computer vision models into real-time systems and applications.
• Collaborate with software engineers and data scientists to deploy and refine vision models.
• Stay up-to-date with the latest advancements and research in computer vision and deep learning.

Requirements

• Master's or PhD in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision.
• Proven experience in developing and deploying computer vision algorithms.
• Proficiency in programming languages such as Python, C++, and experience with relevant libraries (e.g., OpenCV, scikit-image).
• Strong understanding of deep learning frameworks (e.g., TensorFlow, PyTorch) and their application to vision tasks.
• Experience with image data handling, augmentation, and management.
• Excellent problem-solving skills and the ability to work effectively in a team environment.

Benefits

• Competitive annual salary and bonus opportunities.
• Comprehensive medical, retirement, and insurance benefits.
• Support for professional development, including conference attendance and training.
• Access to advanced computing resources and a collaborative R&D environment in Sandton.
• Generous paid time off and flexible work arrangements.