Applied Machine Learning Scientist I (Toronto)

Applied Machine Learning Scientist I (Toronto)

05 Sep
|
TD
|
Toronto

05 Sep

TD

Toronto

Work Location:Toronto, Ontario, CanadaHours:37.5Line of Business:Analytics, Insights, & Artificial IntelligencePay Details:$105,500 - $125,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.Job Description: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.What You’ll DoDevelop, 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 approachesConduct rigorous model evaluation, documentation, A/B testing, and monitoring to ensure model performance, fairness, and stability in productionCommunicate complex technical results to non-technical stakeholders and provide actionable insightsStay current with ML research and industry trends to bring creative approaches into productionWhat You Bring2+ years of experience applying machine learning to real-world business problemsProficiency in Python and key ML librariesExperience with structured and unstructured data, feature engineering, and model interpretability techniquesExposure to GenAI or large language models and their practical applicationsHands-on experience with model deployment and monitoring in a production environmentStrong problem-solving skills and a track record of delivering results in cross-functional teamsUndergraduate degree required, advanced technical degree in a STEM field preferredNice to HaveExperience working in financial services or regulated environmentsFamiliarity with causal inference, anomaly detection or agentsWho We Are:TD is one of the world's leading global financial institutions and is the fifth largest

📌 Applied Machine Learning Scientist I (Toronto)
🏢 TD
📍 Toronto

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