Machine Learning Engineer

@ Mastercard

About Mastercard

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with its customers, it builds a sustainable economy with secure, simple, smart, and accessible digital payment solutions.

Role Overview

The Machine Learning Engineer on the Security Solutions Data Science team creates production-ready AI and ML models to support Mastercard’s authentication and authorization networks. The role involves developing automated, scalable, and resilient processes for model creation, from data extraction to deployment.

Responsibilities

• Collaborate with data scientists to optimize the modeling pipeline.
• Develop scalable ML tools addressing complex data science problems.
• Maintain high-throughput computation engines handling petabytes of data.
• Assist in deploying and validating production artifacts.
• Identify opportunities to automate processes and build reusable components.

Key Qualifications

• Good knowledge of Linux and Bash environment
• Experience with Python, Pyspark, Airflow, CI/CD, JIRA, Hadoop, SQL, Databricks, and Ray
• Strong communication and problem-solving skills
• An undergraduate degree in CS or a STEM related field

Nice To Have

• Graduate degree in CS, Data Science, Machine Learning, AI or related field
• Experience in Data Science, C++ and/or Rust
• Ability to evaluate work for errors and improvement

Corporate Security Responsibility

Every employee must abide by Mastercard's security policies, ensure confidentiality of information, report security issues, and complete mandatory security training.

Location & Compensation

This role is based in Vancouver, Canada with a salary range of $88,000 - $141,000 CAD.

Key skills/competency

Machine Learning, AI, Data Science, Linux, Python, Pyspark, Scalability, Automation, High-throughput, Fraud detection