Description
Mastercard is looking for a Senior AI Engineer to join its AI Foundations team. The successful candidate will build platforms, services, and data infrastructure that enable AI at enterprise scale.
The role involves designing and implementing resilient data pipelines, distributed processing frameworks, and production-grade software services that power AI applications across Mastercard. The engineer will work with large-scale transactional and operational datasets, collaborating with data scientists, product teams, and platform engineers to transform research and prototypes into secure, scalable, and maintainable production systems.
Key responsibilities include:
- Designing, building, and operating production-grade AI and ML services, APIs, libraries, and reusable platform components
- Owning end-to-end AI engineering workflows, including data preparation, model integration, evaluation, deployment, monitoring, and continuous improvement
- Supporting cloud migration efforts, transitioning on-premises data workflows to cloud-based platforms
- Collaborating with data scientists to improve feature selection, feature engineering, and enable end-to-end AI workflows
- Developing CI/CD pipelines to streamline data pipeline deployments and ensure stable, automated workflows
- Improving monitoring and observability to maintain system reliability
- Ensuring data quality, security, and compliance with industry standards
The ideal candidate will have:
- A Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field
- Advanced Python and SQL skills, with strong software engineering fundamentals
- Experience leveraging open source tools, predictive analytics, machine learning, and other data techniques
- High proficiency in using Python/Spark, Hadoop platforms & tools, SQL to build Big Data products & platforms
- Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines
Preferred skills include:
- Financial Institution or Payments experience
- Experience in developing integrated cloud applications with services like Azure, Databricks, AWS, or GCP
- Experience in managing/working in Agile teams
- Experience developing and configuring dashboards