Hybrid Computer Vision AI/ML Engineer

Placements24; Mossel Bay; Hybrid; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Hybrid work model

Professional growth opportunities

Coastal Mossel Bay location

Job summary

Placements24 in Mossel Bay seeks a specialized AI/ML Engineer focused on computer vision to design, implement, and optimize CV models using modern DL frameworks. You will work with image classification, object detection, segmentation, and tracking, handling large datasets for training and validation.

The role requires 3+ years in CV, strong Python and DL library experience, and knowledge of CNNs/RNNs/Transformers. Hybrid work setup combines office presence in Mossel Bay with remote flexibility.

Qualifications

• 3+ years of professional experience in computer vision.
• Strong Python programming with OpenCV, Pillow and ML libraries.
• Knowledge of deep learning architectures for vision (CNNs, RNNs, Transformers).

Responsibilities

• Design, develop, and optimize CV models using deep learning frameworks.
• Implement algorithms for image classification, object detection, segmentation, and tracking.
• Process large image/video datasets for training and validation.
• Collaborate to integrate CV models into larger applications and systems.
• Research new CV techniques to enhance product capabilities.
• Evaluate model performance and troubleshoot real-world issues.

Skills

Python

OpenCV

Pillow

TensorFlow

PyTorch

CNNs

RNNs

Transformers

Data augmentation

Model deployment

Education

Bachelor's or Master's in CS/EE (AI/ML focus)

Tools

OpenCV

Job description

Placements24 in Mossel Bay seeks a specialized AI/ML Engineer focused on computer vision to design, implement, and optimize CV models using modern DL frameworks. You will work with image classification, object detection, segmentation, and tracking, handling large datasets for training and validation.

The role requires 3+ years in CV, strong Python and DL library experience, and knowledge of CNNs/RNNs/Transformers. Hybrid work setup combines office presence in Mossel Bay with remote flexibility.