Computer Vision Engineer

Overview: - Remote position in Argentina or Uruguay - Computer Vision Engineer role at RYZ Labs - Develop AI-powered vision systems for logistics - Collaborate with a forward-thinking client Key Responsibilities: - Develop and optimize computer vision models for real-time recognition and tracking - Design hybrid edge + cloud architectures for scalable inference - Train and deploy YOLO-based object detection models - Build active learning workflows to improve model accuracy - Process and extract structured data from images and video - Optimize model performance for deployment on edge and cloud - Integrate models into scalable production systems - Experiment with new computer vision techniques Requirements/Skills/Qualifications: - Strong proficiency in Python and deep learning frameworks (PyTorch) - Hands-on experience with YOLO (v8, v11) and OpenCV - Practical knowledge of OCR technologies (Tesseract, EasyOCR) - Understanding of model training, evaluation, and optimization - Familiarity with active learning workflows - Experience with hybrid edge + cloud architectures - Strong problem-solving skills - Experience with tracking objects across multiple cameras (nice to have) - Knowledge of coordinating PTZ cameras (nice to have) - Experience deploying models on edge hardware (nice to have) - Familiarity with cloud-based machine learning workflows (nice to have) Compensation & Benefits: - Not specified in the provided text About RYZ Labs: - Startup studio founded in 2021 by two entrepreneurs with experience in tech and consumer brands - Remote and distributed teams across the US and Latin America - Utilize cutting-edge cloud computing technologies - Aim to build industry-defining companies in a post-pandemic world - Values customer-first mentality, bias for action, ownership, humility, respect, frugality, delivering impact, and raising standards Apply for this job: - Not specified in the provided text