Join Our Team as a Senior Machine Learning Engineer

At Mastercard, our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere. We ensure all transactions are safe, simple, smart, and accessible. By leveraging secure data, robust networks, and innovative partnerships, we aim to unlock the vast potential of individuals, businesses, governments, and financial institutions. Our culture, driven by our decency quotient (DQ), promotes a workplace that values inclusiveness and diversity, helping us achieve superior business outcomes.

Job Overview

As a Senior Machine Learning Engineer on our Data Science & Engineering team, you will be at the forefront of creating high-performance analytics and machine learning solutions. Our projects utilize extensive datasets from various consumer sectors like retail and banking, focusing on delivering insights through advanced ML techniques such as deep learning and GenAI.

Key Responsibilities

• Design and implement sophisticated analytical solutions using Mastercard's global datasets and technology platforms.
• Develop and maintain AI/ML applications and data workflows that are scalable and production-ready.
• Collaborate with internal teams to drive the development of new technical solutions and ensure their feasibility.
• Manage the creation of technical documentation and presentations to outline your developments.
• Standardize and automate processes to enhance the quality and scalability of data analysis and solutions.
• Conduct in-depth quality assurance tests on prototypes and address complex technical issues.

Requirements

• Proven experience with big data frameworks such as Hadoop, Spark, and Hive.
• Strong coding skills in Python, SQL, and familiarity with data visualization tools like Tableau and Power BI.
• Advanced knowledge of statistical methods, predictive modeling, ML algorithms including GenAI and deep learning technologies.
• Excellent problem-solving capabilities, with a knack for innovative solutions.
• Effective communication skills, capable of conveying complex ideas to a non-technical audience.
• Experience in project management, demonstrating the ability to handle multiple projects under tight deadlines.
• Continuous learner, keen on staying updated with industry trends in big data and analytics.

Corporate Security Responsibility

All staff at Mastercard are expected to adhere to our strict security protocols. This includes upholding the security and integrity of data, reporting security concerns, and participating in security trainings as directed by our company guide.

If you are looking to impact global digital transactions and thrive in a collaborative, innovative environment, apply to Mastercard today. Embrace this opportunity to develop cutting-edge ML solutions and drive future business success.