Technical Product Owner

TD; Canada; On-site; CAD 73,000 - 154,000; Full time

Job summary

An established industry player is seeking passionate individuals to join their AI research Centre of Excellence. This dynamic role focuses on developing cutting-edge machine learning systems that significantly impact the financial goals of over 27 million customers. You will have the opportunity to work with massive datasets and collaborate with renowned academic faculty, ensuring that your contributions drive innovative, scalable products. If you are driven by the challenge of applying advanced machine learning techniques in a collaborative environment, this is the perfect opportunity for you to grow your career and make a meaningful difference.

Qualifications

• 5+ years in data science projects with leadership experience.
• Strong technical skills in machine learning and data engineering.

Responsibilities

• Deliver machine learning solutions to solve strategic business problems.
• Collaborate with stakeholders and mentor colleagues.

Skills

Machine Learning

Data Engineering

MLOps

Cloud Architecture

Software Development

Stakeholder Management

Communication Skills

Education

Master's degree in Data Science

Equivalent experience in AI or Computer Science

Tools

Python

R

SQL

Scala

Azure

Job description

Work Location:
Toronto, Ontario, Canada

Hours:
37.5

Line of Business:
Analytics, Insights, & Artificial Intelligence

Pay Details:
$73,000 - $154,000 CAD

This role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

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 hiring for intermediate & senior level roles. The roles consist of (but are not limited to) the following:

• Own the delivery of machine learning solutions, melding expertise in data science, technology, and product management to solve strategic business problems with innovative, scalable products.
• Collaborate and communicate effectively with stakeholders and support functions.
• Mentor colleagues and facilitate professional development.
• Manage resources and model lifecycle to ensure model performance and standards.

Job Requirements:

What can you bring to TD? Tell us about your most relevant experience, credentials, and knowledge, including:

• Master's degree in data science, AI, computer science, or equivalent experience.
• Strong communication, business acumen, and stakeholder management skills.
• Technical skills in machine learning, data engineering, MLOps, cloud architecture, and software development.
• Proficiency in Python, R, SQL, and/or Scala, with cloud experience (Azure preferred).
• Certified Scrum Product Owner and/or Scrum Master or equivalent.

Minimum years of experience:

• Intermediate: at least five years delivering major data science projects in large organizations, with leadership experience.
• Senior: at least seven years of experience.