Sr. Data Scientist - ML Ops

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Essential Functions

• Building MLOps Pipelines: Develop, construct, test, and maintain architectures such as databases and large-scale processing systems to manage the ML lifecycle.

• Developing and Retraining ML Models: Develop machine learning models and retrain existing models based on evolving data trends.

• Implementing ML/AI on Large-Scale Datasets: Implement machine learning and AI models on large-scale datasets, including taking small scale models and customizing them for large-scale application without compromising performance.

• Model Lifecycle Management: Manage the end-to-end lifecycle of Machine Learning models, including deployment, monitoring, and versioning.