Staff Machine Learning Operations Engineer (Global Security)

Job Description

What is the opportunity?

In this role, you will be part of the dynamic and critical function of Global IT Risk where our role is to modernize our IT Risk & Control Assessment. These Assessments aim to provide a data-driven Inherent and Residual Risk Rating for every application in RBC across domains of Risk.

These IT Risk Assessments drive tremendous impact and value. Today we can only service a subset of applications and manually create the overall risk posture. This solution will scale out our assessment capability across all appcodes globally and domains and will direct leadership decisions on how to reduce the impact and likelihood of regulatory, financial or reputational risks to RBC.

As the Staff Machine Learning Operations Engineer (Global Security), you will support this AI modernization initiative by operationalizing advanced AI models that power our IT Risk & Control Assessment platform. Working closely with our Staff AI Engineer, you'll own the deployment, validation, and operational excellence of ML models—ensuring they transition smoothly from development environments to production, perform reliably, and continuously improve based on real-world feedback. This is an ideal role for an engineer who understands both ML fundamentals and production systems—someone who can speak the language of data scientists while architecting robust deployment pipelines.

What will you do?

• Architect and maintain integration infrastructure across the GITR ecosystem that supports multiple models in production, including seamless integration with external model providers
• Deploy and operationalize AI models from development to production, designing validation frameworks to test model performance, accuracy, and reliability before and after deployment
• Manage model lifecycle—versioning, monitoring, rollback procedures, and continuous optimization based on real-world performance
• Build data integration pipelines connecting models to control data sources, assessment engines, and downstream reporting systems
• Lead deployment and operationalization sub-projects/spikes, making informed recommendations on deployment strategies, architecture approaches, and integration methods
• Collaborate closely with the Principal AI Engineer to understand model requirements and ensure seamless, production-ready implementation
• Own platform reliability and performance—monitor, troubleshoot, and optimize the AI platform to ensure consistent availability and performance
• GITR AI Champion—support training and adoption of AI into process re-designs, ensuring teams understand platform capabilities and best practices

What do you need to succeed?

Must-have

• Strong backend development experience with: Python Flask, Fast API
• Deep expertise with: Redis, PostgreSQL with pgvector capabilities
• Container orchestration and deployment: Docker, Kubernetes, Openshift
• ML Workflow Orchestration – Apache Airflow, Kubeflow
• Model Training and Model Serving – Dagster, MLflow, or similar tool
• Cloud infrastructure and storage: AWS S3
• Experience with LLM/AI frameworks and integrations (LangGraph, Model Context Protocol/MCP)

Nice-to-have

• Prior RBC experience
• Experience with RBC IT Controls (e.g., DevOps, Cloud infrastructure)
• Experience with key IT Risk domains (e.g., Data Protection, Cyber Security, IT Change Management)
• MLOps and model serving experience (e.g., model versioning, A/B testing, monitoring)
• Experience building data integration pipelines

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
• Flexible work/life balance options
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Access to a variety of job opportunities across business

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Job Skills

Information Technology (IT) Infrastructure, Programming Languages, Software Change Request Management, Software Development Life Cycle (SDLC), Software Engineering, Software Integration Engineering, Software Product Design, Software Product Technical Knowledge, Software Release Management, System Testing Tools

Additional Job Details

Address:

16 YORK ST: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:

2026-04-07

Application Deadline:

2026-05-07

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

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.