Data & ML Engineer

Job Description

What is the opportunity?
The Next Best Action team here at RBC, which is part of the Personal Banking organization, is responsible for running day-to-day marketing campaigns and experiments for our banking clients. Our Data Innovation team is the responsible for maintaining the ecosystem that runs daily that drives our Next Best Action initiative. Our ecosystem is a mix of big data pipelines, machine learning models, full stack applications and microservices. We are looking for a Data & ML Engineer to contribute and build upon the ecosystem with collaboration with our technology/business partners across the bank. In addition, we believe this is an awesome opportunity to learn about a production system within the marketing sector, a unique blend of a start-up within a large organization, as well as an opportunity to learn and flex into different areas of the ecosystems or additional projects of interest.

What will you do?

• Evolve the existing machine learning system to be make machine learning processes scale to be quicker, more reliable and if applicable autonomous or semi-autonomous.

• Deliver data driven solutions alongside data scientists and business stakeholders to help monitor and assess quality on the end-to-end system flow for machine learning development including data ingestion, feature engineering, model training, model inference, model serving and model monitoring.

• Responsible for researching new capabilities and technologies to drive innovation as appropriate including Agentic AI and GenAI.

• Manage, optimize, oversee and monitor data & model pipelines as well as the UI used to inform client decisions related to Next Best Action recommendations.

What do you need to succeed?

Must haves:

• 3+ years in software engineering or software development with a language like Java, Python, Scala or equivalent
• Experience of SQL and relational databases like MySQL, Postgres, SQL server or equivalent
• Experience of deploying and maintaining machine learning models.
• Knowledge of public cloud (Azure, AWS, GCP, OpenShift or equivalent) platforms and development of applications in multi-cloud, hybrid environments is preferred.
• Experience with big data processes (Spark, Airflow) including batch processing and/or real-time streaming technologies is preferred.
• Experience simplifying and automating work and making things better for clients.
• A curiosity and passion for continuous learning and helping others.
• Bachelor's degree or master's degree in computer science, software engineering, data engineering, machine learning engineering or equivalent field

Nice to haves:

• Experience with other database technologies (noSQL, graph databases, vector databases etc) is an asset.
• Experience with Agentic AI and LLMs are an asset.
• Experience with continuous integration and development and/or MLOps tools is an asset.
• Background in development in mobile or web development is an asset.
• Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing, and risk management is an asset.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• A world-class training program in financial services

• Opportunities to do challenging work.

#LI-Post

#LI-Hybrid

#LI-PK

Job Skills

AI Agents, Banking, Big Data, Big Data Management, Cloud Computing, Database Development, Data Engineering, Data Mining, Data Warehousing (DW), End-to-End Testing, ETL Processing, Group Problem Solving, Java, Machine Learning, Product Management, Python (Programming Language), Quality Management, Structured Query Language (SQL)

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:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-10-23

Application Deadline:

2025-11-07

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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.