Senior Machine Learning Engineer, GFT

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. The Senior Machine Learning and Data 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 a 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 a part of the IDEA 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 be working in a cross-functional team that supports various businesses and will have an opportunity to work with different kinds of datasets. You will collaborate with other developers and business partners to deliver medium to high complexity initiatives aligned with IDEA and GFT strategic objectives.

What will you do?

• Productionize, optimize ML-based or any other advanced analytics models and algorithms tailored to address precise business challenges.
• 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 minimum of 5 years of experience in software development, with a strong focus on Python programming and experience in working with cross-functional teams to deliver results.
• Professional working experience with LLMs, RAG, transformers, TensorFlow, PyTorch, BERT, and cross-encoding models.
• Demonstrated a 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, while exhibiting high enthusiasm to tackle complex challenges in AI/ML development and deployment.
• Enthusiastic 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 SQL, NoSQL Databases, or similar tools are required.
• 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?

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, to take on progressively greater accountabilities, and to build close relationships with clients.
• Access to a variety of job opportunities across business and geographies.

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Job Skills

Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning, Predictive Analytics, Programming Languages

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: 2025-03-20

Application Deadline: 2025-04-30

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.