Job Summary

Job Description

What is the opportunity?

Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us!

Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

Our team is focused on the design, development and deployment of capabilities that enable the end-to-end delivery of the Enterprise ESG framework. Senior Machine Learning and Data Engineer is responsible for developing application for large-scale data processing and analysis. You will work with all stakeholders to design best in class technology solutions. We value positive attitude, willingness to learn, open communication, teamwork, and commitment to clean, secure and well-tested code.

Lead ML Platform & Cloud Engineer is responsible for developing applications for large-scale data processing and analysis, and works with stakeholders to design best in class technology solutions to deliver reliable, scalable, and maintainable services with Machine Learning (ML) models in the core. Also supports the development and maintenance of scalable data stores that supply big data needed for business analysis.

What will you do?

Productionalize, optimize ML based or any other advanced analytics models and algorithms tailored to address precise business challenges.

Implement reusable pipelines and MLOps solutions, to optimize machine learning models and other quantitative algorithms life cycle management.

Drive adoption and maturity of MLOps, with focus on adopting model performance monitoring, conduct A/B testing with renewed change management, and iteratively improve model accuracy and overall solution efficiency.

E2E technical competency including conducting data analysis, data preprocessing, and feature engineering to prepare datasets for model training.

Work alongside data scientists, quantitative analysts, software engineers, data engineers, and domain experts to collect requirements and establish project goals.

Document machine learning processes, methodologies, and results to facilitate knowledge sharing and collaboration.

What do you need to succeed?

Must Have:

A degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related field at the Bachelor's or Master's level.

4+ ML related experience (platform, modeling, ML engineering); 1+ years of focused experience in MLOps projects. Experience with data manipulation, preprocessing, and feature engineering techniques.

High-level expertise in programming languages such as Python, highly proficient in both data and ML frameworks, such as Spark, Pandas, scikit-learn, PyTorch, TensorFlow, Ray, etc.

A comprehensive grasp of ml methodologies and principles, such as supervised and unsupervised learning, deep learning, and NLP/GenAI

Excellent problem-solving skills and analytical thinking. Strong communication and collaboration skills.  Champion best practices and in constant pursuit of engineering excellence, automation, and best in class user experience

Stay current with the most recent developments in machine learning research, methodologies, and technologies, integrating them seamlessly into our workflow.

Nice to Have:

Additional languages such as Java, Scala

Experience with building ML solutions in public cloud in a large enterprise environment

Prior exposure in the Financial Industry, especially supporting top-of-the-house risk analytic functions (such as Market Risk, Credit Risk or Liquidity Risk), in the design and development of the regulatory frameworks.

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

#LI-Post

#TechPJ

Job Skills

Amazon Sagemaker, Amazon Sagemaker, Apache Airflow, Apache Spark, AWS Architecture, Big Data Management, Big Data Platforms, Big Data Solutions, Big Data Tools, Cloud Computing, Credit Risk Management, Database Development, Data Mining, Data Warehousing (DW), Distributed Computing, ETL Development, Generative AI, Kubernetes, Liquidity Risk, Machine Learning Model Management, Machine Learning Operations, Market Risk Management, MLflow, Pandas Python Library, PySpark {+ 6 more}

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:

2025-07-17

Application Deadline:

2025-08-15

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.