OverviewTitle:Machine Learning EngineerMastercard powers economies and empowers people in 200+ countries and territories worldwide. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver products and services that help people, businesses and governments realize their greatest potential.About the RoleThe Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models for Mastercard’s authentication and authorization networks. Models are production ready and back specific products. The Data Science team also develops automated processes for creating models from data extraction to delivery, designed to scale, be repeatable, resilient, and industrialized.We are building AI and ML fraud detection solutions applied across cross-channel platforms in Fortune 500 companies within financial technology and payments processing. We seek a highly motivated individual with strong problem-solving skills to structure and engineer data and to advance AI model evaluation and reporting processes.ResponsibilitiesCollaborate closely with data scientists to understand the current modeling pipeline and identify optimization opportunities.Develop ML tools that scale to solve complex problems for data scientists in the modeling teams.Develop and maintain high-throughput computation engines capable of handling petabytes of data.Assist the deployment team to deploy and validate production artifacts.Identify patterns and innovative solutions, simplify and automate tasks, and build reusable components for multiple use cases and teams.Create products that are well-architected,



thoroughly documented, and easy to understand and maintain.All About YouGood knowledge of Linux / Bash environmentExperience with Python, PySpark, Airflow, CI/CD, JIRA, Hadoop, SQL, Databricks, RayGood communication skillsStrong problem-solving abilities and initiativeUndergraduate degree in CS or a STEM-related fieldNice To HaveGraduate degree in CS, Data Science, Machine Learning, AI or related STEM fieldData Science experienceExperience with C++ and/or RustAbility to evaluate own work and others for errorsEEO and AccommodationsMastercard is a merit-based, inclusive, equal prospect employer that considers applicants regardless of gender, gender identity, sexual orientation, race, ethnicity, disability or veteran status, or any other protected characteristic. In the US or Canada, if you require accommodations or assistance to complete the online application or during the recruitment process, please contact [email protected] and identify the type of accommodation you are requesting. Do not include any medical or health information. The Reasonable Accommodations team will respond promptly.Corporate Security ResponsibilityAll activities involving access to Mastercard assets, information, and networks come with inherent risk. Every person working for or on behalf of Mastercard is responsible for information security and must:Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of information being accessed; Report any suspected information security violation or breach; Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.Pay RangesVancouver, Canada: $91,000 - $140,000 CAD#J-18808-Ljbffr

📌 Machine Learning Engineer - C$91,000 - C$140,000 A Year (Toronto)
🏢 Mastercard
📍 Toronto