Visa

This role focuses on applying AI & ML techniques to enhance the reliability, availability, and performance of Visa's middleware infrastructure. The engineer will develop intelligent automation systems, integrate ML models, and improve monitoring/observability, working with AI/LLM frameworks. The role involves supporting middleware software, designing reliability solutions, and collaborating with data science teams. Experience with DevOps, cloud platforms, and programming languages like Python, Java, or Go is required, with AI/ML engineering experience being a plus.

Staff ML Scientist at Visa focused on building, training, testing, validating, and productizing machine learning models. The role involves implementing MLOps best practices, utilizing AWS SageMaker, and understanding model explainability. Experience with deep learning frameworks and model serving is required, with a focus on fintech applications.