Senior Machine Learning Engineer, GFT
Royal Bank of CanadaAbout the opportunity
Global Functions Technology (GFT) is part of RBC's Technology and Operations division. GFT collaborates 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.
The Senior Machine Learning Engineer is responsible for developing applications 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.
As a Machine Learning Engineer, you will be part of the EDA team, developing applications for large-scale data processing and analysis performing data modeling and building the data infrastructure that powers effective decision-making. You will work in a cross functional team that supports various businesses with different kinds of datasets. You will collaborate with other developers and business partners to deliver medium – high complexity initiatives aligned with EDA and GFT strategic objectives.
Responsibilities
- Productionize, optimize ML based or any other advanced analytics models and algorithms tailored to address precise business challenges
- Conduct A/B testing with renewed change management, and iteratively improve model accuracy and overall solution efficiency
- Perform end-to-end technical competency including 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
Requirements
Must have
- Minimum of 5 years of experience in software development, with a strong focus on Python programming
- Experience working with cross-functional teams to deliver results
- Professional working experience with LLMs, RAG, transformers, TensorFlow, PyTorch, BERT and cross encoding models
- Demonstrated solid foundation in data structures, algorithms, and software engineering principles, with a track record of developing high-quality, maintainable code
- Familiarity with recent LLMs and development frameworks, i.e. OpenAI, Llama, Mistral, LangChain etc.
- Proven Machine Learning industry experience, preferably at scale, with prior experience in transfer learning and model modifications
- Excellent problem-solving skills and high enthusiasm to tackle complex challenges in AI/ML development and deployment
- Enthusiasm about working in a fast-paced, innovative environment, contributing to a team that aims to make a significant impact in the banking and finance technology space
- Database and programming languages experience and data manipulation and integration skills using (one or more) SQL, NoSQL Databases, or similar tools
- Good understanding of leveraging Azure's AI and machine learning services to deploy, monitor, and maintain ML models, ensuring high availability and performance
Nice to have
- Knowledge of machine learning and data science concepts and tools
- Knowledge of any other programming languages such as Javascript or Java
- Understanding and passion for machine learning/AI
- Experience working with at least one of Snowflake, PostgreSQL, and/or other DBMS platforms
What's in it for you
- 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
- Dynamic, collaborative, progressive, and high-performing team environment
- World-class training program in financial services
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Opportunities to build close relationships with clients
- Access to a variety of job opportunities across business and geographies
Job details
Address: RBC CENTRE, 155 WELLINGTON ST W, TORONTO
City: Toronto
Country: Canada
Work hours per week: 37.5
Employment Type: Full time
Job Type: Regular
Pay Type: Salaried
Posted Date: 2026-06-19
Application Deadline: 2026-07-06
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Job skills
Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Logical Data Modeling, Machine Learning (ML), Predictive Analytics, Programming Languages, Relationship Building
About Royal Bank of Canada
Royal Bank of Canada (RBC) is a Canadian multinational financial services company and the largest bank in Canada by market capitalization. It provides personal and commercial banking, wealth management, capital markets, insurance, and investor and treasury services to clients worldwide.
Interested in this role?
Apply now to join Royal Bank of Canada.