Hybrid CV Engineer – Real-Time Object Recognition

Placements24; Johannesburg; Hybride; ZAR 600 000 - 900 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Performance incentives

Medical aid

Retirement contributions

Paid leave

Training opportunities

Hybrid work model

Randburg facility

Career growth

Résumé du poste

Placements24 in Randburg, Gauteng, is seeking a Computer Vision Engineer focused on object recognition. You will design and implement real-time computer vision algorithms for embedded hardware, collaborating with hardware and R&D teams in a hybrid work setting.

The role involves working with TensorFlow, PyTorch and OpenCV, contributing to cutting-edge visual intelligence and ongoing professional development within a dynamic team.

Qualifications

• 3+ years of experience in computer vision development with object recognition.
• Proficiency in Python or C++.
• Experience with TensorFlow, PyTorch, or Keras.
• Familiarity with OpenCV and image processing techniques.
• Strong analytical and problem-solving skills.

Responsabilités

• Develop and optimize computer vision algorithms for object detection, recognition, and tracking.
• Implement deep learning models (CNNs, YOLO, SSD) for object recognition tasks.
• Process and analyze large image/video datasets for training and validation.
• Collaborate with hardware engineers to run vision on embedded systems.
• Conduct experiments, analyze results, and document methods.
• Optimize performance for speed, accuracy, and resource efficiency.
• Stay updated with CV and deep learning advancements.
• Work with cross-functional teams to deploy CV solutions to production.

Connaissances

Python

C++

Deep learning

Image processing

Machine learning

Analytical thinking

Formation

Bachelor's or Master's degree in Computer Science / Electrical Engineering or related field

Outils

TensorFlow

PyTorch

Keras

OpenCV

Description du poste

Placements24 in Randburg, Gauteng, is seeking a Computer Vision Engineer focused on object recognition. You will design and implement real-time computer vision algorithms for embedded hardware, collaborating with hardware and R&D teams in a hybrid work setting.

The role involves working with TensorFlow, PyTorch and OpenCV, contributing to cutting-edge visual intelligence and ongoing professional development within a dynamic team.