Machine Learning Engineer, Underwriting
Core
Design, develop, and deploy end-to-end machine learning pipelines to power critical decisions for a consumer finance platform serving Canadians.
Role type
Machine Learning Engineer (Underwriting)
Builds
High-impact, world-class ML systems for short-term credit access
Domain
Fintech / Consumer Finance
Deliverable
production ML models
Required skills
Python, Scikit-learn, LightGBM, PyTorch, MLOps (MLflow, Kubeflow, SageMaker), Pandas, NumPy, SQL, NoSQL, feature engineering, hyperparameter tuning, model versioning, bias detection, explainability
Preferred skills
Cloud-based ML deployment, containerization, orchestration, real-time and batch inference pipelines
Technologies
AWS, GCP, Azure, Docker, Kubernetes
Responsibilities
Design and deploy end-to-end ML pipelines; Implement MLOps best practices including CI/CD and monitoring; Optimize ML models using feature engineering and tuning; Work with structured and unstructured data; Collaborate with data engineers on high-performance data pipelines; Deploy and manage models on cloud platforms; Maintain model performance through continuous monitoring and explainability techniques
Seniority
Mid-level, hands-on IC