Machine Learning Engineer I

TD; Toronto; On-site; CAD 120,000 - 154,000; Full time

Job summary

A leading global financial institution is seeking a Machine Learning Engineer I to join their innovative AI Platform team in Toronto, Ontario. The ideal candidate will collaborate on core machine learning capabilities, ensuring scalability and reliability in model deployment. This position offers the chance to work on cutting-edge projects and contribute to the advancement of AI at TD while benefiting from professional growth opportunities and a competitive compensation package.

Benefits

Health and well-being benefits

Career development programs

Flexible work environment

Qualifications

• Experience in building or contributing to Python libraries or APIs.
• Familiar with cloud platforms like Microsoft Azure.
• Foundational knowledge of machine learning and deep learning concepts.

Responsibilities

• Design and implement features for model deployment and serving.
• Collaborate with product owners to optimize core components.
• Provide expertise on engineering practices for the AI/ML team.

Skills

Machine Learning

Python

API technologies

MLOps

Education

Undergraduate degree

Advanced technical degree (math, physics, engineering, or computer science)

Tools

Flask

FastAPI

AzureML Online Endpoints

Cloud platforms

Job description

Join to apply for the Machine Learning Engineer I role at TD

Join to apply for the Machine Learning Engineer I role at TD

Pay Details

120,000 - 153,500 CAD

Work Location:

Toronto, Ontario, Canada

Hours

37.5

Line Of Business

Analytics, Insights, & Artificial Intelligence

Pay Details

120,000 - 153,500 CAD

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

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

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.

Key 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.
  
  

Customer

• Interpret the meaning of new strategic directions and set objectives and measurements.
• Gather and analyze information or data on current and future trends of best engineering practices.
• Seek information on issues impacting the progress of organizational, engineering and process issues.
  
  

SHAREHOLDER

• 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.
  
  

EMPLOYEE / TEAM

• Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
• 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.
  
  

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.

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. Learn more

Additional Information

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec Only)

Sans Objet

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Banking

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