Senior AI Engineer

Mastercard•2h ago

CanadaHybridFull-timeSenior Level5+ yrs exp

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Top focus

Ai Engineer

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. 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 a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior AI Engineer Overview The Security Solutions Data Science team is responsible for developing Artificial Intelligence (AI) and Machine Learning (ML) models that support Mastercard’s Identity and risk capabilities across digital transactions. These models are production-ready and designed to power key products and decisioning systems across Mastercard’s payment networks. The team also leads the research and development of scalable data science systems spanning the full model lifecycle—from data acquisition and feature engineering, through experimentation and validation, to deployment and monitoring. These systems are built to operate at scale and are designed to be repeatable, resilient
industrialized, supporting both current business needs and the exploration of emerging problem spaces. Services within Mastercard is responsible for acquiring, engaging
retaining customers by managing fraud and risk, enhancing cybersecurity
improving the digital payments experience. Within this mission, the Identity Data Science portfolio plays a significant role in developing intelligence-driven solutions that improve how risk is understood and managed across the merchant lifecycle, including building a unified merchant view and trust profile. You will join a dynamic and innovative team working at petabyte scale with cutting-edge big data platforms and technologies such as Databricks and Apache Spark. Our mission is to streamline and automate the repetitive aspects of data science to accelerate innovation in AI/ML-driven fraud detection. We specialize in building scalable pipelines, robust feature engineering workflows
shared tooling that enables faster and more reliable model development and deployment. Role As a Senior AI Engineer, you will:
Be an integral part of a creative and innovative team, contributing to collaborative projects and sharing insights to drive engineering and data science excellence
Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at petabyte scale, pushing the boundaries of data processing and model enablement
Partner closely with Data Science teams to enable seamless R&D, scale models, features, and experimentations into reliable systems
Support the deployment of model features and model artifacts, ensuring seamless integration into production environments and downstream decisioning systems
Write clean, testable, and maintainable code, ensuring solutions are robust, efficient, and production-grade
Design, build, and maintain data pipelines that integrate multiple data sources to support a unified merchant registry and trust profile, enabling richer datasets and unlocking new opportunities for innovation
Collaborate with data operations and governance teams to move and manage data in compliance with security standards, policies, and regulatory requirements
Contribute to the design and evolution of scalable, entity-centric data models that support merchant identity resolution and longitudinal profiling
Automate and maintain data workflows in distributed environments, improving reliability and operational efficiency
Analyze and optimize ETL/ELT processes to support high-performance data access and model execution
Implement testing frameworks and monitoring capabilities to ensure production solutions are reliable, observable, and continuously improving
Support incident response, debugging, and performance tuning of production AI/ML systems About You Essential Skills to be successful:
Proven track record of self-directed learning, demonstrating the ability to acquire new skills and knowledge independently
Strong independent research skills and resourcefulness, enabling you to find solutions and innovate in data engineering
Strong understanding of data pipelines and end-to-end ML model development workflows, with exposure to entity-centric data systems
Experience with Python and SQL, showcasing the ability to write clean, readable, and maintainable code
Experience with big data technologies (e.g., Spark, distributed compute frameworks)
Hands-on experience with cloud platforms such as Databricks, AWS, or GCP
Critical thinking and a drive to produce high-quality work, ensuring all solutions meet rigorous standards
Strong communication skills, enabling effective collaboration with team members and stakeholders
Experience collaborating across data science, engineering, and governance teams
Ability and interest in problem-solving, with a proactive approach to tackling challenges
Openness to learn and apply new technologies, staying current with industry trends and advancements
Familiarity with Agile methodologies, with the ability to drive iterative delivery and cross-team collaboration
Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Software Engineering, or a related field or equivalent practical experience
Contributions to platform standardization, reusability, and shared tooling across teams Nice to Have
Experience working in hybrid environments (cloud and on-premises)
Familiarity with ML lifecycle and CI/CD practices for data and ML workflows
Experience with data governance, lineage, and metadata management
Exposure to batch, streaming, or real-time data pipelines and production ML monitoring/observability
Experience supporting high-scale production systems in merchant, fraud, or payment domains
Understanding of security, compliance, and handling sensitive data
Experience designing scalable databases and data models such as business registries
Experience with database updates and maintenance Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that 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 the information being accessed
Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This is a pipeline posting for future opportunities within our team. Pay Ranges Vancouver, Canada: $111,000 - $160,000 CAD Toronto, Canada: $111,000 - $160,000 CAD

Required skills

PythonSQLDatabricksApache SparkAWSGCP