Senior Machine Learning Engineer, GFT at Royal Bank of Canada

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

18 Sep, 26

Salary

0.0

Posted On

20 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LLMs, RAG, TensorFlow, PyTorch, BERT, LangChain, SQL, NoSQL, Azure AI, Data Modeling, Deep Learning, Predictive Analytics, Big Data Management, Feature Engineering, A/B Testing

Industry

Financial Services

Description

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. Senior Machine Learning 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. As a Machine Learning Engineer, you will be a 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 be working in a cross functional team that supports various businesses and you will have an opportunity to work 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. 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? Mus Have Have a minimum of 5 years of experience in software development, with a strong focus on Python programming. Experience in working with cross-functional teams to deliver results Possess professional working experience with LLMs, RAG, transformers, TensorFlow, PyTorch, BERT and cross encoding models. Having demonstrated a solid foundation in data structures, algorithms, and software engineering principles, with a track record of developing high-quality, maintainable code. Should be familiar with recent LLMs and development frameworks, i.e. OpenAI, Llama, Mistral, LangChain etc. Proven Machine Learning industry experience, preferably at scale. Prior experience with transfer learning and model modifications. Excellent problem-solving skills, while exhibiting high enthusiasm to tackle complex challenges in AI/ML development and deployment. Are 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 (one or more) SQL, NoSQL Databases, or similar tools is required. Possess good understanding on 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. 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. #LI-Post 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 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: 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 Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. 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. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Responsibilities

Develop and productionize large-scale data processing applications and advanced ML models to solve business challenges. Collaborate with cross-functional teams to design technical solutions and document machine learning methodologies.