Build XYZ Reality’s AI platform in Calgary using Python, PyTorch, and production machine learning infrastructure. Apply machine learning to construction environments.
As an AI Platform and Machine Learning Engineer, you will move models from research into scalable production systems. You will develop training, deployment, monitoring, and continual learning infrastructure. The role spans dataset management, experiment tracking, model validation, and cloud-to-edge delivery.
Key Responsibilities: Design scalable infrastructure for training and deploying machine learning models
Develop distributed training pipelines and reproducible environments
Build dataset, model registry, and experiment tracking workflows
Develop benchmarking, validation, monitoring, and retraining pipelines
Deploy models across cloud and edge devices
Requirements: Three to five years in Machine Learning Engineering or related work
Computer Science, Artificial Intelligence, or related degree
Robust Python and hands-on PyTorch experience
Production ML pipelines and end-to-end lifecycle understanding
Docker, Kubernetes, CI/CD, and cloud deployment experience
Bring strong ML engineering fundamentals to XYZ Reality, advancing reliable AI systems for real-world construction through production-focused infrastructure.