Senior Machine Learning Engineer

RBC; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

RBC is seeking a Senior Machine Learning Engineer to join their HR Data Sciences Team in Toronto. The role involves full lifecycle management of ML projects, including design, implementation, and deployment of machine learning models. Ideal candidates have robust experience in ML and MLOps, strong Python skills, and a passion for addressing complex ML challenges.

Benefits

Comprehensive Total Rewards Program

Support for professional development

Opportunities for career advancement

Qualifications

• At least 3 years of work experience in a similar role.
• 1-2 years of work experience with MLOps.
• Previous experience deploying models on RBC infrastructure.

Responsibilities

• Design and develop ML systems, choosing the right algorithms.
• Prepare and transform data for training models.
• Train models and evaluate their performance.

Skills

Python

SQL

Machine Learning Techniques

Deep Learning

Natural Language Processing (NLP)

Data Pipelines

Education

Degree in Computer Science, Statistics, Math, Physics or related STEM field

Tools

Amazon S3

AWS AI Services

Microsoft Azure

Job description

Job Summary

Job Description

What is the opportunity?

RBC, one of Canada’s largest and most respected employers, is looking for a Senior Machine Learning Engineer to join our HR Data Sciences Team.

You will be a critical member of the HR Data Sciences team who will specialize in designing, building, testing, and deploying machine learning models to solve business problems. You will be responsible for the entire lifecycle of an ML project, from data preparation to model implementation and monitoring. This includes choosing appropriate algorithms, training models, evaluating performance, and integrating them into production systems.

We are looking for a multi-talented subject matter expert, who is familiar with RBC’s data and ML infrastructure. You can embrace varied and ambiguous ML challenges while also being able to translate your work for a non-technical audience.

What will you do?

• Design and develop ML systems: Choose the right algorithms, designing data pipelines, and building scalable models.

• Data preparation and feature engineering: Gather, clean, and transform data into a usable format for training models.

• Model training and evaluation: Train models on the prepared data, evaluating their performance using metrics, and fine-tuning them to achieve optimal results.

• Model deployment and monitoring: Deploy models into production on-prem or on RBC cloud infrastructure, ensuring their reliability and performance, and monitoring their performance over time.

• Collaboration: Work with data scientists, software engineers, and domain/business experts to develop and implement ML solutions.

• Continuous learning: Stay up-to-date with the latest advancements and techniques

What do you need to succeed?

Must have:

• Degree in Computer Science, Statistics, Math, Physics or related STEM field.

• At least 3 years of work experience in a similar role

• 1-2 years of work experience with MLOps

• Advanced skills in Python and SQL

• Previous experience deploying models on RBC infrastructure

• Strong management and organizational skills.

• Experience supporting and working with cross-functional teams in a dynamic environment.

Nice-to-have:

• Familiarity with platforms such as AWS Sagemaker, Dataiku etc.

• Familiarity with Microsoft Azure

• Some experience with Deep Learning and NLP

• Understanding of Generative AI and LLMs.

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

• Opportunities to take on progressively greater accountabilities

• Opportunities to building close relationships with clients

• Access to a variety of job opportunities across business and geographies.

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Job Skills

Amazon S3, AWS AI Services, Data Pipelines, Deep Learning, Large Language Models (LLMs), Machine Learning Techniques, Microsoft Azure, Natural Language Processing (NLP), Prompt Engineering, Python (Programming Language), Structured Query Language (SQL)

Additional Job Details

Address:

20 KING ST W:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

HUMAN RESOURCES & BMCC

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-05-05

Application Deadline:

2025-06-15

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.