Senior Computer Vision Engineer - Hybrid, Port Elizabeth

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work model

Professional growth opportunities

Comprehensive benefits package

Job summary

Placements24 seeks a Senior Computer Vision Engineer to join its advanced technology division in Port Elizabeth. You will design, develop, and optimize CV algorithms for object detection, tracking, and segmentation, while implementing DL models for image/video processing.

Collaborate with cross-functional teams to integrate CV solutions into products and validate systems for accuracy and robustness in a hybrid work environment.

Qualifications

• Master's or PhD in Computer Science, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning.
• 5+ years of hands-on experience in computer vision development and implementation.
• Strong proficiency in C++ and/or Python, and experience with OpenCV and scikit-image.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.

Responsibilities

• Design, develop, and optimize computer vision algorithms for detection, tracking, recognition, and segmentation.
• Implement and fine-tune deep learning models for image and video processing tasks.
• Collaborate with software engineers and product managers to integrate CV solutions into products.
• Conduct thorough testing and validation of CV systems for accuracy, performance, and robustness.
• Research and evaluate new CV techniques to enhance capabilities and explore new applications.
• Contribute from prototyping to deployment and maintenance of CV systems.

Skills

C++

Python

OpenCV

Deep learning

Education

Master's or PhD in CS/EE with CV focus

Tools

TensorFlow

PyTorch

Keras

Job description

Placements24 seeks a Senior Computer Vision Engineer to join its advanced technology division in Port Elizabeth. You will design, develop, and optimize CV algorithms for object detection, tracking, and segmentation, while implementing DL models for image/video processing.

Collaborate with cross-functional teams to integrate CV solutions into products and validate systems for accuracy and robustness in a hybrid work environment.