ML Engineer

Job Description

What is the opportunity?

Join the Shared Platform Services (SPS) team as we revolutionize operational processes within Technology Infrastructure by delivering enterprise-grade, data-intensive AI and GenAI solutions. We are looking for a talented and adaptable ML Engineer to help design, build, and maintain cutting-edge solutions for key stakeholders across Technology & Operations, including Digital Platform Services, Engineering Transformation Services, SRE Operations Teams, and TI Platforms.

In this role, you will work at the forefront of AI and machine learning infrastructure, focusing on LLM developments as well as GenAI infrastructure. You’ll also play a critical role in the end-to-end software development lifecycle (SDLC), from gathering requirements and designing solutions to development, testing, deployment, and knowledge transfer to support teams. Working in a fast-paced, collaborative environment, you’ll partner closely with data leads and business stakeholders to ensure that our solutions are fit for purpose and operate seamlessly.

This is a unique opportunity to grow your expertise in machine learning infrastructure and work with a passionate, high-performing team committed to bringing AI and GenAI solutions to enterprise at scale.

What will you do?

• Implement LLM agents and deploy them on hybrid cloud environment
• Design, develop, and implement AI-enabled data ingestion applications and machine learning systems
• Collaborate with peers to write, troubleshoot, enhance, and document high-quality code aligned with strategic initiatives and detailed requirements.
• Partner with internal teams across RBC to deliver software features, resolve issues, and implement bug fixes.
• Ensure seamless integration of machine learning applications into enterprise-grade infrastructure while maintaining high performance and reliability.

What do you need to succeed?

Must Have:

• Experience building and maintaining data ingestion pipelines
• In-depth knowledge of the Python application deployment lifecycle, including CI/CD processes.
• Hands-on experience deploying hybrid environments on on-premise and cloud platforms, including RedHat OpenShift and Azure.
• Proven proficiency in programming languages such as Python, and Java.
• Experience working with relational databases (e.g., MSSQL, PostgreSQL, MySQL), including expertise in profiling data and writing/optimizing SQL queries.
• Familiarity with non-relational databases e.g., Elasticsearch, MongoDB.
• Strong written and verbal communication skills, with the ability to create compelling presentations and effectively collaborate with stakeholders.

Nice-to-have:

• Experience with data analytics and monitoring platforms, such as Splunk, Dynatrace, Moog, PromQL, and Grafana Enterprise Metrics (GEM).
• Familiarity with machine learning frameworks such as PyTorch, TensorFlow and/or scikit-learn.
• Previous experience with MLOps orchestration tools such as AirFlow, KubeFlow, or MetaFlow.
• Experience working in agile teams using methodologies like Scrum or Kanban.

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
• Flexible work/life balance options
• Opportunities to do challenging work

#TECHPJ

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST 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:

2026-05-13

Application Deadline:

2026-05-20

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.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

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.

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.