Top AI & Machine Learning Jobs in Vancouver, BC

Build and deploy full-stack applications, workflow automations, and basic AI agents using AI coding agents. Translate customer needs into specifications, evaluate AI-generated solutions for security and reliability, instrument products, analyze usage and outcome metrics, identify automation opportunities through customer conversations, and document effective prompts and development patterns.

Build and deploy complete applications, workflow automations, and basic AI agents using AI coding agents. Translate customer needs into specifications, instrument solutions, evaluate AI-generated output for security, privacy, reliability, and quality, and iterate based on usage and outcome metrics. Participate in customer conversations to identify automation opportunities and document effective prompts and development patterns.

Lead end-to-end ML lifecycle: data exploration, model training, evaluation, deployment, and monitoring. Design and scale batch and real-time feature pipelines, partner cross-functionally to productionize models, implement MLOps (CI/CD, retraining, drift detection, observability), and mentor engineers to maintain high code and system quality.

As a Data Scientist II, you will analyze fraud trends, optimize risk decision policies, and create dashboards to improve fraud model performance.