Senior Machine Learning Engineer, GFT

RBC • Toronto, ON

5d • Onsite

About The Position

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. 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 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 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-to-high complexity initiatives aligned with EDA and GFT strategic objectives.

Requirements

• 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.
• 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.
• 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.
• Enthusiasm for 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.
• 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 Haves

• 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed