AI Engineer II

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

AI Engineer II

Overview

The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. The models generated are production ready and created to back specific products in Mastercard’s authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.

You will join a dynamic and innovative team working at petabyte scale with cutting-edge big data platforms and technologies. 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 high-quality, scalable ETL pipelines, developing robust feature engineering workflows, and creating shared tools that empower data scientists across the organization. Additionally, we play a key role in deploying model features and ensuring seamless integration into production environments.

Role
As a AI Engineer II, you will:
• Be an integral part of a creative and innovative team, contributing to collaborative projects and sharing insights to drive data engineering excellence.
• Work with cutting-edge big data platforms and technologies at petabyte scale, pushing the boundaries of data management and analysis.
• Write clean and testable code, ensuring that all solutions are robust, maintainable, and efficient.
• Automate and maintain data workflows in a distributed environment, streamlining processes to enhance productivity and reliability.
• Analyze and optimize ETL processes, ensuring efficient data extraction, transformation, and loading to support business intelligence and analytics.

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.
• Experience with Python and SQL, showcasing the ability to write clean, readable, and maintainable code.
• Critical thinking and a drive to produce high-quality work, ensuring that all solutions meet rigorous standards.
• Good communication skills, enabling effective collaboration with team members and stakeholders.
• 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.
• Understanding of Agile methodologies, with the ability to drive iterative delivery and cross-team collaboration.
• Effective communicator with the ability to understand complex concepts to both technical and non-technical audiences, and to influence stakeholders across product, engineering, and acquisition teams.
• Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Software Engineering, or a related field or equivalent practical experience.

Nice to Have:
• Experience with any big data technology, enhancing your ability to work with diverse data engineering tools and platforms.
• Experience with spark or databricks
• Experience with AWS, GCP, or any other cloud environments, showcasing proficiency in cloud-based data solutions and infrastructure.

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.