Applied Machine Learning Scientist I

TD•Toronto, ON

1d•CA$81,600 - CA$115,200•Onsite

About The Position

We’re looking for a highly motivated Applied Machine Learning Scientist to join our AI2 team. In this role, you’ll drive the development and deployment of ML solutions that power data-driven decision-making across our Business Banking division. You’ll work closely with various teams to bring AI capabilities to life and deliver measurable business impact. This is a unique opportunity work on high-impact initiatives in a fast-growing function. If you're passionate about solving real-world problems with machine learning and want to make a tangible difference at scale, we'd love to hear from you.

Requirements

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

Nice To Haves

advanced technical degree in a STEM field preferred
Experience working in financial services or regulated environments
Familiarity with causal inference, anomaly detection or agents

Responsibilities

Develop, deploy, and maintain Predictive and Generative AI models for use cases such as: Agentic AI, LLM-based models, Pricing, 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