Senior AI Engineer

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 Senior AI Engineer Overview Mastercard is seeking a Senior AI Engineer to design, build, and deploy high‑quality AI solutions that support key business and product initiatives. This role is hands‑on and delivery‑focused, contributing directly to the development of production AI systems while collaborating closely with product, data, and engineering partners. As a Senior AI Engineer, you will work on well‑scoped AI initiatives, applying advanced machine learning and software engineering practices to move models from experimentation into reliable, performant production systems. This role represents a critical technical contributor level, with opportunities to grow toward technical leadership and broader system ownership. Role In this role, you will be responsible for building and operationalizing AI solutions Key responsibilities include: Design, develop, and deploy AI and machine learning models to solve defined business and product problems Contribute to the development and optimization of transformer‑based and generative AI models, including fine‑tuning, evaluation, and inference workflows Build and maintain data pipelines, feature engineering logic, and training workflows in collaboration with data engineering teams Implement model serving and inference solutions, integrating models into downstream applications and APIs Apply MLOps best practices, including experiment tracking, versioning, automated testing, monitoring, and model performance evaluation Participate in code reviews, design discussions, and technical planning to ensure high‑quality, maintainable solutions Collaborate with product managers and stakeholders to translate requirements into technical implementations Support troubleshooting and performance tuning of models and AI systems in production environments Continuously improve technical skills and stay current with advances in AI, ML frameworks, and engineering practices All About You Solid experience developing machine learning or AI solutions and deploying them into production environments Strong proficiency in Python and experience with ML frameworks such as PyTorch and/or TensorFlow Hands‑on experience with transformer‑based models (e.g. BERT‑style encoders, generative models, embeddings, or similar architectures) Experience working with data pipelines and datasets, including data preparation, feature engineering, and training data management Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud‑based ML tooling Working knowledge of MLOps practices, including model deployment, monitoring, and lifecycle management Strong software engineering fundamentals, including version control, testing, and code quality practices Ability to collaborate effectively within cross‑functional teams and follow established architectural and engineering standards Clear communicator with a growth mindset and interest in progressing toward broader technical ownership Bachelor’s degree or equivalent practical experience in computer science, engineering, data science, or a related field 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 informatio ... (truncated, view full listing at source)