Lead Software Engineer (Machine Learning Engineer)

Global Payments, a leading payments technology company, is seeking a Lead Software Engineer specializing in Machine Learning. This role combines software engineering expertise with machine learning capabilities to drive innovation in the FinTech space. The position offers an opportunity to work with cutting-edge AI technologies, including Snowflake's Cortex AI and Retrieval Augmented Generation (RAG) techniques.

The ideal candidate will join a dynamic team that enables millions of daily financial transactions, supporting over 3 million companies and 600 million cardholders globally. You'll be responsible for developing and deploying machine learning models that solve complex business problems, working with large-scale datasets, and implementing AI solutions that drive measurable impact.

The role requires strong technical expertise in Python, machine learning frameworks, and data analysis, combined with the ability to collaborate across teams and translate business needs into technical solutions. You'll work with modern tools and technologies, including Snowflake's data platform, and have the opportunity to influence the future of payment technology solutions.

This position offers the chance to work with a company at the forefront of financial technology, where your machine learning expertise will directly impact how millions of people and businesses handle their financial transactions. The role combines technical depth with business impact, making it ideal for someone who wants to apply their ML engineering skills to real-world financial challenges.

Working at Global Payments means joining a worldwide team committed to innovation and operational excellence, with opportunities to grow and make significant contributions to the payments technology landscape. The company's culture emphasizes collaboration, continuous learning, and delivering best-in-class payment technology and software solutions.