Machine Learning Engineer
Bree, Canada
The role
We’re looking for a Machine Learning Engineer to build and scale high-impact, world-class ML systems. You’re passionate about deploying AI solutions, optimizing performance, and driving measurable results. Your work will power critical decisions and shape the future of our technology.
What you will do
- Design, develop, and deploy end-to-end machine learning pipelines, ensuring efficiency in training, validation, and inference.
- Implement MLOps best practices, including CI/CD for ML models, model versioning, monitoring, and retraining strategies.
- Optimize ML models using feature engineering, hyperparameter tuning, and scalable inference techniques.
- Work with structured and unstructured data, leveraging Pandas, NumPy, and SQL for efficient data manipulation.
- Apply machine learning design patterns to build modular, reusable, and production-ready models.
- Collaborate with data engineers to develop high-performance data pipelines for training and inference.
- Deploy and manage models on cloud platforms (AWS, GCP, Azure) with containerization and orchestration tools like Docker and Kubernetes.