Computer Vision AI Infrastructure Engineer

Advance XYZ Reality’s computer vision and spatial AI platform in Calgary with Python, PyTorch, and scalable model infrastructure. Support real-world construction technology. This Machine Learning Engineer role connects AI research with production engineering at XYZ Reality. You will build infrastructure for data acquisition, labelling, training, evaluation, deployment, and monitoring. Collaboration with Computer Vision, Navigation, Embedded Software, and Cloud Engineering teams is central to the work. Key Responsibilities:

Build large-scale dataset ingestion, management, and validation workflows Develop annotation and labelling workflows for training data Improve model lifecycle management and automated benchmarking Design machine learning CI/CD pipelines and validation systems Work across technical teams to turn research into production systems Requirements:

Three to five years of Machine Learning Engineering experience Degree in Computer Science, AI, Software Engineering, or related discipline Experience with computer vision and modern AI architectures Strong Python development skills and PyTorch experience Strong software engineering fundamentals for reliable production systems Use computer vision, machine learning, and production engineering expertise to strengthen XYZ Reality’s AI platform for construction.

#J-18808-Ljbffr