Applied Machine Learning Scientist I

Develop, deploy, and maintain Predictive and Generative AI models for use cases such as Agentic AI, LLM-based models, Pricing, and Anomaly Detection.,Translate business problems into analytical frameworks and collaborate with cross-functional teams to define success metrics and solution approaches.,Conduct rigorous model evaluation, documentation, A/B testing, and monitoring to ensure model performance, fairness, and stability in production.,Communicate complex technical results to non-technical stakeholders and provide actionable insights.,Stay current with ML research and industry trends to bring innovative approaches into production.,2+ years of experience applying machine learning to real-world business problems.,Proficiency in Python and key ML libraries.,Experience with structured and unstructured data, feature engineering, and model interpretability techniques.,Exposure to GenAI or large language models and their practical applications.,Hands-on experience with model deployment and monitoring in a production environment.,Strong problem-solving skills and a track record of delivering results in cross-functional teams.

Undergraduate degree required.,Advanced technical degree in a STEM field preferred.,Nice to Have: Experience working in financial services or regulated environments.,Nice to Have: Familiarity with causal inference, anomaly detection or agents.

Undergraduate Degree (required), Advanced Technical Degree in STEM (preferred)

This job opportunity is subject to provincial regulation for employment purposes.