Lead Software Engineer (Machine Learning Engineer)

Global Payments, a leading payments technology company serving over 3 million companies and 600 million cardholders worldwide, is seeking a Lead Software Engineer specializing in Machine Learning. This role combines advanced AI/ML expertise with practical FinTech applications, offering an opportunity to shape the future of payment technology.

The position requires a skilled professional with 4+ years of experience in machine learning and data science, who will be responsible for designing and implementing AI/ML models to solve complex business problems. The role leverages Snowflake's data platform and modern machine learning frameworks to deliver scalable, data-driven solutions.

Key aspects of the role include developing and deploying machine learning models, building ML pipelines, analyzing complex datasets, and implementing features using Snowflake's AI capabilities. The ideal candidate will have strong expertise in Python, machine learning frameworks, and statistical modeling, combined with practical experience in data manipulation and visualization.

This is an excellent opportunity for a seasoned ML engineer who wants to make a significant impact in the FinTech space, working with a global team that's driving innovation in payment technology. The role offers exposure to cutting-edge technologies like Retrieval Augmented Generation (RAG) and various AI/ML applications in a production environment.

The position is based in Pune, India, offering the chance to work with a worldwide team that helps millions of people move money between buyers and sellers. This role is perfect for someone who combines technical expertise with business acumen and wants to be at the forefront of applying AI/ML solutions in the payments industry.