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


Start Date

Immediate

Expiry Date

23 Nov, 25

Salary

120000.0

Posted On

23 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Data Engineering, Business Acumen, Product Adoption, Azure, Scala, Machine Learning, Solution Architecture, Artificial Intelligence, Sql, Data Science, R, Credentials, Python

Industry

Information Technology/IT

Description

WE ARE CURRENTLY SEEKING TALENTED INDIVIDUALS FOR A VARIETY OF POSITIONS, RANGING FROM JUNIOR TO SENIOR LEVELS, AND WILL EVALUATE YOUR APPLICATION IN ITS ENTIRETY.

Layer 6 is the AI research centre of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.
Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty.
We are always looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.
We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Our team is building standardized frameworks to launch AI models that have real-world impact . Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.

JOB REQUIREMENTS

What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

  • Minimum three years of experience delivering major data science projects in large, complex organizations
  • Strong communication, business acumen and stakeholder management competencies
  • Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices
  • Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture a plus
  • A track record of driving product adoption and growth
  • Familiarity with cloud solution architecture, Azure a plus
  • Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience a plus
  • Master’s degree data science, artificial intelligence, computer science or equivalent experience

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
  • Minimum three years of experience delivering major data science projects in large, complex organizations
  • Strong communication, business acumen and stakeholder management competencies
  • Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices
  • Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture a plus
  • A track record of driving product adoption and growth
  • Familiarity with cloud solution architecture, Azure a plus
  • Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience a plus
  • Master’s degree data science, artificial intelligence, computer science or equivalent experienc
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