**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** Lead AI/ML Feature Engineer Position Overview As a Lead AI/ML Feature Engineer, you will be at the forefront of designing, developing, and deploying cutting-edge machine learning features that drive core business value for Mastercard. You will leverage your deep technical expertise to build sophisticated data pipelines and engineer impactful features, directly influencing our products and strategies Key Responsibilities Design, develop, and implement advanced features from raw data for various machine learning models, ensuring their relevance, robustness, and scalability Build and optimize efficient and reliable data pipelines to support the ingestion, transformation, and delivery of data for AI/ML applications Provide technical guidance and mentorship to other junior engineers Work closely with AI engineers, product managers, and other engineering teams to understand requirements, translate business problems into technical solutions, and integrate AI/ML features into production systems Support the deployment, monitoring, and maintenance of AI/ML features in production environments Implement robust testing and validation processes to ensure the quality, accuracy, and reliability of engineered features and AI/ML data pipelines Qualifications Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field Experience: Minimum of 8+ years of experience in AI/ML feature engineering, data engineering, or a related field, with a strong focus on building and deploying AI/ML feature pipelines in production Technical Skills: Proficiency in programming languages such as Python, Scala, or Java Extensive experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Spark). Hands-on experience with any of the cloud platforms Strong background in SQL and NoSQL databases Experience with big data technologies Familiarity with MLOps practices and tools (e.g., Docker, Kubernetes, CI/CD for ML) Exceptional analytical and problem-solving skills, with the ability to translate complex business challenges into technical solutions Excellent communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders Proven ability to work effectively in cross-functional teams and drive projects to successful completion A strong passion for innovation and a track record of exploring and adopting new technologies and methodologies in the AI/ML space **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 information being accessed; + Report any suspected information security violation or breach, and + Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.