Lead AI Engineer (AI & Data Strategy)

Role overview

Responsibilities

• Identify optimization opportunities in existing modeling pipelines with data scientists.
• Integrate and manage data from varied sources and storage systems to produce cohesive datasets.
• Design data pipelines that automate repetitive data science and engineering tasks.
• Partner with software engineering teams to deploy and validate production artifacts.
• Simplify and automate work and build reusable components for multiple use cases and teams.
• Develop well-modeled, documented, understandable, maintainable data products.
• Lead cross-functional work in loosely defined environments and mentor junior AI engineers.

Qualifications

• Good knowledge of Linux/Bash environments.
• Experience with Python, PySpark, Airflow, CI/CD, JIRA, Hadoop, SQL, and Databricks.
• Familiarity with agile and agentic engineering practices, good communication, problem-solving skills, and initiative.
• A graduate degree in a related STEM field, data engineering experience, Java, Jenkins, petabyte-scale data, and experience with messy data are advantageous.

About Mastercard

Corporate security responsibilities

• Follow security policies and practices, protect the confidentiality and integrity of accessed information, report suspected security violations, and complete required periodic security training.

Compensation

• Vancouver pay range is CAD 127,000 to CAD 203,000; eligible candidates may participate in a discretionary annual incentive program.