Mastercard

Mastercard is seeking an AI/ML Data Engineer II to design, build, and operationalize graph-driven ML solutions. This role focuses on building and scaling knowledge graphs, developing data pipelines, and implementing ML pipelines for training, validation, deployment, and serving of graph-based ML models. The role requires a strong background in Machine Learning Engineering and Data Engineering, with specialization in graph-based systems.

Senior Data Engineer for the AI Ops team, responsible for designing, building, and operating analytics and data engineering solutions that provide operational visibility, insight, and proactive intelligence across enterprise infrastructure, applications, and services. This role focuses on integrating data from diverse operational sources, enabling high-quality dashboards and metrics, and supporting AI-driven operational use cases that improve reliability, performance, and decision-making.

Mastercard is seeking a Senior Data Scientist to develop and drive data-driven open banking solutions, focusing on affordability/credit decisioning and identity/income verification. The role involves applying data science techniques to large datasets, building interactive dashboards, supporting customer trials, and contributing to team methods for prototyping and governance. Experience with time series, NLP, and solution deployment is required, preferably within financial services.