Applied Machine Learning Scientist developing AI solutions for Wealth use cases at TD. Collaborating with cross-functional teams to implement Generative AI and traditional ML approaches.
Responsibilities
Lead problem framing and solution design
Design, build, and deploy Agentic solutions
Collaborate with cross‑functional partners to translate ambiguous problem statements into implementable AI solutions
Ensure solutions meet governance and responsible AI expectations
Evaluate, test, and monitor solutions in production
Communicate complex technical concepts clearly to non‑technical stakeholders
Requirements
2+ years of experience applying machine learning or AI techniques to real‑world business problems
Strong proficiency in Python
Solid foundations in traditional ML (feature engineering, model evaluation, interpretability)
Curiosity and judgment to determine how a problem should be solved
Experience working with unstructured data (text, documents, PDFs, etc.)
Undergraduate degree required; advanced technical degree in a STEM field preferred
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