Machine Learning Platform Developer

Job Summary

Job Description

What's the opportunity?

Are you interested in the opportunity to work as a Machine Learning Platform Developer on the ML platform engineering team at RBC Borealis? Our team is looking for experienced ML Platform Engineers with expertise in full stack development to contribute to our platform services.

RBC Borealis ML platform engineering team is responsible for enabling on-premises infrastructure for our internal data engineering and data science teams at RBC. We work with 100s of developers and data scientists across RBC to leverage our on-premises resources to accelerate their work across the full end-to-end data and machine learning lifecycle. This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

At RBC Borealis, you’ll be joining a team that works on building and enhancing on-premises solutions to support data engineering and data science teams across the organization. The role involves designing, developing, and maintaining platform services, APIs, and tools to enable seamless machine learning workflows and lifecycle management.

Your responsibilities include:

• Performing complex application programming activities, including coding, testing, debugging, documenting, maintaining, and modifying complex applications programs;
• Create and review technical design documents, understand how the design will be used in the code development process, and facilitate meetings to design, troubleshoot, and execute projects;
• Develop APIs and microservices to support Enterprise Machine Learning Platform client initiatives;
• Present technical topics at regular sprint meetings;
• Designing, building, and optimizing machine learning deployment tools and automation systems that operate the business’s data and ML applications;
• Designing and implementing best practices and standards for data and machine learning pipelines across the organization;
• Supporting applications and projects with infrastructure design decision, and monitoring solution;
• Building a highly scalable, resilient platform for hosting machine learning systems using state-of-the-art technologies.

You're our ideal candidate if you have:

• Bachelor’s degree in computer science, software engineering, or equivalent;
• 5+ years’ experience as a software developer/software engineer and proficient in at least one major programming language, as well as strong knowledge of object-oriented design and data structures;
• Strong working knowledge of SQL and NoSQL Datastores;
• Experience in building APIs and RESTful services;
• Experience in mentoring junior engineers, leading code review and design sessions;
• Passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency and helping others;
• Strong communication skills with ability to work cross-functionally to articulate, measure and solve issues;
• Great attention to detail, organizational skills and an analytical mind;
• Strong platform engineering experience and experience implementing scalable distributed systems;
• Working with building and maintaining DevOps pipeline, such as GitHub actions;
• Previous experience with MLOps orchestration tools such as AirFlow, KubeFlow, Dagster;
• Experience implementing monitoring solutions to identify system bottlenecks and production issues;
• Data engineering knowledge is helpful but not required for the role.

What's in it for you?

• Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
• Leaders who support your development through coaching and managing opportunities;
• Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

#LI-Hybrid

#Ll-POST

Job Skills

Apache Airflow, Apache Spark, Application Development, Application Maintenance, Applications Architecture, Applications Programming, Cloud Computing, Code Development, Detail-Oriented, Group Problem Solving, Jupyter Notebooks, Python (Programming Language), Red Hat OpenShift, Software Development Life Cycle (SDLC) Methodologies, Technical Design Documentation, Unit Testing

Additional Job Details

Address: 335 8 AVE SW:CALGARY

City: CALGARY

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: TECHNOLOGY AND OPERATIONS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-04-22

Application Deadline: 2025-05-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above