By combining computer vision, sensor data, and machine learning, we aim to create a unified system that understands what is happening on the yard at any moment and supports and automates key operational decisions. As CTO & Co-Founder, you will build the technology strategy from 0 to 1 and lead the development of our computer-vision-driven yard automation platform. * Evaluate and implement computer vision pipelines: object detection, tracking, ID association, anomaly detection, and spatial reasoning. * Set engineering best practices across CI/CD, testing, reliability, security, and data protection (GDPR). You are a highly motivated, entrepreneurial engineering leader with a strong background in AI/ML, computer vision, and building scalable software systems. * MSc/PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field.
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