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.

📌 Machine Learning Platform Engineer Calgary (Canada)
🏢 XYZ Reality
📍 Canada