Senior Machine Learning Engineer, GFT

Job Description

Job Description What is the opportunity? Come and be part of our innovative and high-performing GenAI and Mobile Team if you are a talented, tenacious, meticulous, and results-focused individual who thrives on staying at the forefront of new technologies. We are seeking an experienced Senior Machine Learning Engineer to help shape, develop, and deliver AI applications and proof-of-concepts (POCs) across diverse business lines. The successful candidate will collaborate with stakeholders to identify opportunities, develop impactful solutions, and drive the adoption of advanced AI technologies across the organization. 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. As a Senior Machine Learning Engineer, you will be a key member of a team, developing applications for large-scale data processing and analysis, performing data modelling, 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. What will you do? Design, develop, and productionize advanced machine learning and AI solutions, ensuring they address complex business challenges with measurable impact. Optimize and deploy state-of-the-art ML models and AI agents, leveraging modern frameworks (e.g., LangGraph or similar) and best practices for scalability, reliability, and maintainability. Contribute to experimentation and continuous improvement cycles, including robust change management and iterative model refinement to maximize solution performance. Conduct comprehensive data analysis, preprocessing, and feature engineering, ensuring data quality and readiness for model development. Collaborate closely with data scientists, quantitative analysts, software engineers, data engineers, and domain experts to define requirements, set technical direction, and deliver high-impact AI applications. Support and provide guidance to junior team members, fostering a culture of technical excellence, innovation, and knowledge sharing. Document and communicate machine learning processes, methodologies, and results to both technical and non-technical stakeholders, ensuring transparency and reproducibility. Stay abreast of the latest advancements in AI/ML research and technology, pr

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