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, straightforward, 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
Data Engineer ( AI/ML )

Overview-

Mastercard is a global technology company powering one of the world’s fastest payment networks. Our Data Warehouse enables data-driven insights that help customers solve complex business challenges. In this role, you will contribute to a growing organization, collaborating with skilled engineers to deliver innovative and impactful data solutions.

This role is seeking a Machine Learning / AI Data Engineer to support the development, deployment, and operationalization of data science models at scale.



This role combines strong data engineering fundamentals with AI/ML expertise to build scalable data platforms, optimize model pipelines, and enable production-ready AI solutions. The ideal candidate will have hands-on experience with Python, SQL, PySpark, cloud technologies, MLOps, and CI/CD practices.

Role -
- Design, develop, and maintain scalable data pipelines and cloud-based data platforms supporting AI and ML workloads.
- Build, deploy, and optimize machine learning models and AI solutions for enterprise-scale applications.
- Develop robust data processing and feature engineering solutions using Python, SQL, and PySpark.
- Support end-to-end ML lifecycle management, including model deployment, monitoring, automation, and governance.
- Implement and maintain CI/CD pipelines for data and machine learning applications.
- Collaborate with data scientists, engineers, and business stakeholders to operationalize AI/ML

📌 Data Engineer (Pune Division)
🏢 Mastercard
📍 Pune Division