Computer Vision ML Engineer - Hybrid (Port Elizabeth)

Placements24; Gqeberha; Hybride; ZAR 900 000 - 1 300 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Health benefits

Learning & growth opportunities

Performance-based incentives

Résumé du poste

Placements24 is seeking a creative and technically proficient Machine Learning Engineer specializing in Computer Vision in Port Elizabeth. You will develop and deploy CV models for image recognition, object detection, and video analysis, spanning the entire ML lifecycle from data prep to deployment.

Join a collaborative AI division to apply your CV expertise, optimize performance, and stay ahead with current research while benefiting from a hybrid work model and opportunities for growth.

Qualifications

• Bachelor's or Master's degree in CS/Engineering with AI/Computer Vision focus.
• Minimum 3+ years of hands-on ML experience with a focus on computer vision.
• Proficiency in Python and deep learning libraries (TensorFlow, PyTorch, Keras, OpenCV).
• Experience with image classification, object detection, segmentation and tracking.

Responsabilités

• Design and implement advanced computer vision models using deep learning.
• Prepare and annotate large image and video datasets for training and validation.
• Optimize models for speed and accuracy across hardware constraints.
• Integrate CV models into existing software systems and tools.
• Collaborate with cross-functional teams to define requirements and deliver AI solutions.
• Stay updated with latest CV and DL research and apply it to projects.

Connaissances

Computer Vision

Machine Learning

Analytical thinking

Formation

Bachelor's or Master's in CS/Engineering (AI/Computer Vision focus)

Outils

TensorFlow

PyTorch

Keras

OpenCV

Python

Description du poste

Placements24 is seeking a creative and technically proficient Machine Learning Engineer specializing in Computer Vision in Port Elizabeth. You will develop and deploy CV models for image recognition, object detection, and video analysis, spanning the entire ML lifecycle from data prep to deployment.

Join a collaborative AI division to apply your CV expertise, optimize performance, and stay ahead with current research while benefiting from a hybrid work model and opportunities for growth.