Applied Machine Learning Scientist II

Applied Machine Learning Scientist II

Work Location: Canada

Hours: 37.5

Line of Business: Analytics, Insights, & Artificial Intelligence

Pay Details: We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

Job Description:

Department Overview: Applied Machine Learning Science is a specialized field within advanced analytics that brings deep expertise in Artificial Intelligence (AI) / Machine Learning (ML) to drive innovation and improvements in business practices. This area is focused on developing and applying a broad set of evolving advanced AI/ML techniques to solve business problems.

• Develop leading-edge techniques and innovative methodologies to solve a wide array of business problems.
• Develop and apply new and innovative solutions to solve enterprise problems.
• Provide deep technical expertise in stakeholder interactions related to complex advanced analytics and AI/ML area.
• Responsible for providing technical expertise on advance analytics and machine learning across a broad range of analytics functions including data and modelling frameworks, tools, technology, processes and procedures.
• Plays a role in the development of AI/ML systems and is able to provide actionable insights to solve business problems.
• Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
• Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
• Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate.
• Ensure business operations are in compliance with applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets).
• Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
• Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.
• Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.
• Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist.
• Lead / facilitate and/or implement actions / remediation plans to address performance / risk / governance issues.
• Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.
• Provide thought leadership and/or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit.
• Keep current on emerging trends/developments and grow knowledge of the business, related tools and techniques.
• Act as a brand ambassador for your business area/function and the bank, both internally and/or externally.

Job Requirement:

• Undergraduate degree in STEM is required (computer science, engineering, math or physics etc.) Graduate's degree preferred with either progressive project work experience.
• Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models.
• Strong coding proficiency: python and/or Java and/or Scala.
• Cloud experience with Azure or AWS and cloud AI/ML services such as Databricks, Kubernetes, docker and container orchestration, Azure Machine Learning, Azure Data Factory.

Min Years' Experience Level:

Junior- 2+ years of experience

Intermediate- 4+ years of 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.

Our Total Rewards Package: Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.