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TD Bank

Offers banking, loans, and wealth management.

Technical Product Owner - AI & Machine Learning Solutions

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaCA$140k - CA$240k

About the Job

Requirements

  • At least 5 years of experience delivering complex AI, machine learning, data science, advanced analytics, or software products in large-scale enterprise environments.
  • At least 3 years of experience leading cross-functional technical delivery teams consisting of machine learning engineers, data scientists, software engineers, and MLOps practitioners.
  • Deep understanding of machine learning, generative AI, large language models, retrieval systems, model evaluation techniques, data engineering, MLOps, and software development practices.
  • Ability to evaluate technical designs and challenge architecture decisions while partnering effectively with engineering and research teams.
  • Strong technical proficiency in Python, SQL, and modern software engineering practices, including version control, continuous integration and continuous delivery, automated testing, observability, and deployment automation.
  • Familiarity with model risk management and AI governance in regulated industries.
  • An advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience delivering complex AI/ML solutions.

Responsibilities

  • Lead cross-functional teams of machine learning scientists, machine learning engineers, data scientists, and software engineers to deliver production-grade AI solutions.
  • Work closely with stakeholders to identify, refine, and occasionally reject opportunities to build machine learning products; collaborate with support functions such as risk, technology, and model risk management, and incorporate interfacing features.
  • Translate business objectives into technically feasible AI/ML solutions and articulate trade-offs related to architecture, implementation complexity, scalability, risk, and model performance.
  • Develop the vision, strategy, and roadmap for AI technical products and capabilities that meet business objectives and maintain TD at the forefront of AI research and development.
  • Maintain an in-depth understanding of the solution, architecture, and technical implementation details to challenge design decisions, assess delivery trade-offs, and prioritize development work in alignment with business and technical requirements.
  • Facilitate colleagues' professional and technical development through mentorship and feedback.
  • Anticipate resource needs as solutions move through the model lifecycle, scaling pods up and down as models are built, perform, degrade, and require enhancement.
  • Establish and uphold AI/ML engineering standards, best practices, and quality controls, while providing informed challenge on model design, MLOps, data architecture, and production-readiness decisions.
  • Lead the definition of cloud-native AI/ML solution architectures and operational strategies, partnering with engineering and architecture teams to ensure scalable deployment, monitoring, and lifecycle management of production AI systems.
  • Ensure AI solutions meet enterprise standards for security, governance, model risk management, responsible AI, compliance, operational resilience, and auditability.
  • Define, measure, and communicate the business value delivered by products, connecting model performance to measurable business outcomes and enterprise AI value targets.

About the Company

TD Bank

Offers banking, loans, and wealth management.

TD Bank provides a wide range of banking and financial services in North America for individuals, businesses, and corporations. Core offerings include checking and savings accounts, credit cards, loans, mortgages, investment products, and wealth management. TD Bank emphasizes digital banking through online and mobile apps that let customers manage money, pay bills, deposit checks, transfer funds, and manage cards. Revenue comes from interest on loans, service fees, and investment income. The company differentiates itself with a broad product lineup, large North American footprint, and integrated services for both personal and business customers, plus a focus on digital accessibility. Its goal is to be a leading, accessible financial institution that helps customers manage and grow their money through convenient, everyday banking and investment solutions.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1955

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