Computer Vision Engineer

Responsibilities

• Design, develop, and deploy computer vision algorithms and models for real-world applications such as object detection, image segmentation, or video analysis
• Optimize computer vision models for deployment on edge devices or cloud platforms
• Manage data pipelines and conduct model evaluation to ensure robust performance in production environments

Requirements

• Proficiency in Python
• Experience with deep learning frameworks including PyTorch or TensorFlow
• Experience with image processing libraries such as OpenCV
• Knowledge of model optimization and deployment on edge or cloud platforms
• Experience with data pipeline management and model evaluation

About the Company

Kanz is building intelligent visual perception systems that power real-world applications, transforming complex research into scalable, production-ready solutions.