Machine Learning Engineer I at TD Bank
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

13 Sep, 25

Salary

120000.0

Posted On

15 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Flask, Machine Learning, Physics, Microsoft Azure

Industry

Information Technology/IT

Description

JOB DESCRIPTION:

The Machine Learning Standardization team at TD Bank’s AI Platform is dedicated to enabling seamless model deployment and serving for high-performing machine learning models. Our mission is to provide a robust foundation that accelerates the deployment process while ensuring reliability and scalability. We are seeking talented engineers to tackle the exciting challenge of building core capabilities for state-of-the-art AI/ML models. These capabilities will be utilized across the bank to standardize and streamline model deployment, serving and monitoring processes.
As a key contributor to the Machine Learning Standardization team, you will play a pivotal role in designing and implementing critical components of ML libraries and systems. You will collaborate closely with model developers, as well as other talented engineers in the AI Platform team, to create systems that meet the diverse needs of machine learning deployments across various projects within the organization.

EXPERIENCE AND / OR EDUCATION

  • Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering or computer science) Graduate’s degree preferred with either progressive project work experience
  • Exposure to building or contributing to Python libraries or APIs.
  • Familiarity with API technologies or frameworks such as Flask, FastAPI and AzureML Online Endpoints.
  • Basic understanding of cloud platforms like Microsoft Azure.
  • Interest in MLOps practices and tools.
  • Foundational knowledge of machine learning and deep learning concepts, including predictive and generative AI.

WHO WE ARE:

TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

Responsibilities
  • Design and implement features that drive standardization and scalability, ensuring consistent practices for model deployment and serving.
  • Collaborate with product owners and technical leads to architect, develop, and optimize core components to support large-scale, enterprise-wide use cases.
  • Provide expertise on fundamental engineering practices for the broader AI/ML engineering team and inspire the adoption of ML engineering practice across the organization.
  • Work closely with model developers and AI Platform teams to build, maintain, and enhance scalable systems that streamline and unify machine learning workflows across the organization.
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