[Hiring] Computer Vision Engineer @Ryzlabs
Mar 07, 2025 - Ryzlabs is hiring a remote Computer Vision Engineer. đź’¸ Salary: unspecified. đź“ŤLocation: Argentina, Uruguay.
Role Description
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.
- Develop and optimize computer vision models for real-time vehicle recognition, OCR, and object tracking.
- Design and implement hybrid edge + cloud architectures for scalable, low-latency inference.
- Train and deploy YOLO-based object detection models in real-world applications.
- Build active learning workflows to continuously improve model accuracy.
- Use OpenCV and deep learning frameworks to process and extract structured data from images and video.
- Optimize model performance for deployment on edge devices and cloud environments.
- Work with software engineers to integrate models into scalable production systems.
- Experiment with new computer vision techniques to push the boundaries of automation in logistics.
Qualifications
- Strong proficiency in Python and deep learning frameworks like PyTorch.
- Hands-on experience with YOLO (v8, v11, or similar) for object detection.
- Experience with OpenCV for image processing and feature extraction.
- Practical knowledge of OCR technologies such as Tesseract, EasyOCR, or commercial APIs.
- Understanding of model training, evaluation, and optimization for real-world deployment.
- Familiarity with active learning workflows to improve model performance over time.
- Experience with hybrid edge + cloud architectures for deploying vision models.
- Strong problem-solving skills and ability to work in a fast-paced, evolving environment.
Requirements
- Experience with tracking objects across multiple cameras for persistent identification.
- Knowledge of coordinating PTZ (pan-tilt-zoom) cameras for automated tracking.
- Experience deploying and optimizing models on edge hardware.
- Familiarity with cloud-based machine learning workflows (Google Cloud, AWS, or Azure).
Benefits
- Work remotely within Argentina or Uruguay.
- Autonomy and efficiency in your development work.
- Opportunities for learning, growth, and challenging projects.
- Collaboration with a team of great professionals and specialists.
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| đź“Ť | Be aware of the location restriction for this remote position: Argentina, Uruguay |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
|
Salary
đź’¸
unspecified
|
Remote
Location
Argentina, Uruguay
|
|
Job Type
contract
|
Posted
Mar 07, 2025
|
| đź“Ť | Be aware of the location restriction for this remote position: Argentina, Uruguay |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
