MACHINE LEARNING ENGINEER (M/F) (H/F)

Job Description
What is the opportunity?
RBC's Advice Centre Data team extracts powerful insights from comprehensive datasets using advanced NLP, machine learning, and generative AI. We build innovative AI-powered services and products that transform advisor-client interactions by mining conversation data, transaction patterns, and engagement metrics.
This role focuses on developing production-grade NLP/ML systems and data products. You'll engineer scalable solutions for intent classification, sentiment analysis, and other text analytics. This is a hands-on engineering role where you'll design, implement, and deploy ML systems at scale.

What will you do?
Execute machine learning strategy and lead ML Ops implementation
Identify workload drivers and understand client experience through data analytics
Design and develop advanced data products using state-of-the-art NLP/ML methodologies
Explore, train, fine-tune, and evaluate machine learning models
Support daily operations by applying NLP/ML expertise to business projects and inquiries
Ensure model performance, compliance, and risk reduction across all solutions
Research latest NLP/ML trends and provide strategic recommendations for business use cases

What do you need to succeed?

Must have:
Strong NLP/ML engineering experience : 3+ years building and deploying NLP/ML systems in production environments (not just research or prototypes)
Large Language Model expertise : Hands-on experience with LLMs, prompt engineering, API integration, optimization
Python proficiency : Expert-level Python for data manipulation, ML development, and production code
Data skills : Expertise in analyzing and manipulating large datasets with Python and SQL
NLP toolkit : Proficiency with spaCy, NLTK, Hugging Face Transformers, or similar NLP libraries
ML fundamentals : Strong understanding of text classification, feature engineering, model evaluation
Education : Bachelor’s degree in computer science, engineering, or related field

Nice to have:
Master of Data Science or equivalent
Familiarity with data lake and cloud environments

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.
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work

Job Skills
Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages

Additional Job Details
Address:
MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA City:
Mississauga Country:
Canada Work hours/week:
37.5 Employment Type:
Full time Platform:
PERSONAL & COMMERCIAL BANKING Job Type:
Regular Pay Type:
Salaried Posted Date:
2026-01-21 Application Deadline:
2026-02-04 Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

I nclusion 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.