Applied Machine Learning Scientist I (ML/AI algorithms)

Develop robust and reliable solutions leveraging advanced techniques, such as advanced statistics, machine learning and AI, NLP, geospatial analytics, storytelling & visualization, helping to solve strategic business challenges and enable insightful actions. Leverage a broad stack of technologies and platforms and packages— Python, Azure DataBricks, PySpark, PyTorch, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Work closely with various stakeholders, to successfully move the project through all phases of the model lifecycle, from ideation and design through data gathering, training, evaluation, control and governance partners review and approval process, implementation, and ongoing monitoring and maintenance, with minimal supervision. Effectively communicate model design and results to senior leaders and business partners, articulate the business problems from a technical/quantitative definition and facilitate key strategic discussions and provide thought leadership. Provide expertise on mathematical concepts for the broader analytics team and inspire the adoption of advanced analytics and machine learning across the organization. Maintain full professional knowledge of techniques and developments in the field of Machine Learning and AI, including Generative AI, and share knowledge with peers, business partners, and senior management. Maintain relationship with the team's strategic partners, such as business teams, AI2, and governance and control partners.

The Toronto-Dominion Bank & its subsidiaries are collectively known as TD Bank Group (TD).