Job Description
What's the opportunity?
We’re looking for a Machine Learning Data Engineer to enable data and ML capabilities that directly power the bank’s flagship Next Best Action (NBA) initiative, projected to deliver an incremental $160MM+ annual run-rate by FY28. As an ML Data Engineer, you will build and scale an AI-driven decisioning system that delivers hyper-personalized client experiences, ensuring the right action, at the right time, through the right channel, with the right offer, content, and placement. You will build AI agents that accelerate action creation and automate decisioning at scale, driving meaningful impact across millions of client interactions. You will work end to end across the ML lifecycle, from data and features through to deployed, monitored, and continuously improving models, bridging cutting-edge research and production systems to deliver measurable, AI-driven value.
Your responsibilities include:
You're our ideal candidate if you have:
What's in it for you?
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.
Job Skills
AI Agents, AI Ops, Amazon SageMaker, Apache Hadoop, Apache Kafka, Apache Spark, AWS Cloud Computing, AWS Glue, Business Requirements Analysis, Collaboration, Database Development, Data Engineering, Data Pipelines, Data Warehousing (DW), DevOps, End-to-End Testing, ETL Processing, Feature Engineering, Generative AI, Hybrid Cloud Computing, Snowflake (Platform), Software Requirements Analysis
Additional Job Details
Address:
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
TECHNOLOGY AND OPERATIONS
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2026-02-11
Application Deadline:
2026-05-04
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
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