Computer Vision Engineer - Remote

Overview

RYZ Labs is looking for a highly skilled Computer Vision Engineer to collaborate on cutting-edge AI solutions that transform the global supply chain. You’ll work with a forward-thinking client to develop AI-powered vision systems that analyze real-world logistics operations, enabling intelligent automation, real-time insights, and advanced object recognition through computer vision, OCR, and deep learning.

In Short

• Develop and optimize computer vision models for real-time vehicle recognition and object tracking.
• Design and implement hybrid edge + cloud architectures for scalable inference.
• Train and deploy YOLO-based object detection models.
• Build active learning workflows to improve model accuracy.
• Use OpenCV and deep learning frameworks for image processing.
• Optimize model performance for edge devices and cloud environments.
• Collaborate with software engineers for model integration.
• Experiment with new computer vision techniques.
• Work in a fast-paced, evolving environment.
• Contribute to high-impact challenges in the logistics industry.

Requirements

• Strong proficiency in Python and deep learning frameworks like PyTorch.
• Hands-on experience with YOLO for object detection.
• Experience with OpenCV for image processing.
• Knowledge of OCR technologies such as Tesseract.
• Understanding of model training and optimization.
• Familiarity with active learning workflows.
• Experience with hybrid edge + cloud architectures.
• Strong problem-solving skills.
• Ability to work in a fast-paced environment.

Benefits

• Work with autonomy and efficiency.
• Opportunities for learning and growth.
• Challenging projects in cutting-edge technology.
• Collaborate with a team of great professionals.
• Be part of a startup environment with innovative solutions.