Hybrid Computer Vision Engineer: Deep Learning Specialist

Placements24; South Africa; Hybrid; ZAR 550,000 - 900,000; Full time

Job summary

Placements24 is seeking a skilled Computer Vision Engineer in Polokwane, offering a hybrid work model that combines remote flexibility with essential in-office collaboration. You will design, develop, and implement cutting-edge CV algorithms and systems, focusing on image recognition, object detection, and image analysis using deep learning.

The ideal candidate has a strong grasp of CV principles, expertise in DL frameworks, and excellent programming skills.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or related field with CV/ML specialization.
• 3+ years experience in developing and deploying computer vision systems with deep learning.
• Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
• Strong understanding of computer vision concepts and algorithms.
• Experience with image processing libraries (OpenCV, Pillow).
• Familiarity with data augmentation techniques and best practices for training DL models.

Responsibilities

• Develop and implement deep learning models for CV tasks such as image classification, object detection, segmentation, and tracking.
• Design, train, and evaluate deep neural networks using TensorFlow, PyTorch, or Keras.
• Process and analyze large image and video datasets.
• Optimize CV algorithms for performance on various hardware.
• Collaborate with software engineers to integrate CV models into production apps.
• Stay up-to-date with CV and DL research and insights.

Skills

Python

Deep Learning

TensorFlow

PyTorch

Keras

OpenCV

Pillow

Git

Cloud Platforms

Computer Vision

Education

Bachelor's or Master's in CS/EE with CV/ML

Tools

OpenCV

Pillow

Git

Job description

Placements24 is seeking a skilled Computer Vision Engineer in Polokwane, offering a hybrid work model that combines remote flexibility with essential in-office collaboration. You will design, develop, and implement cutting-edge CV algorithms and systems, focusing on image recognition, object detection, and image analysis using deep learning.

The ideal candidate has a strong grasp of CV principles, expertise in DL frameworks, and excellent programming skills.