Company Description

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.

Job Description

At Visa, our Data Science team within the Banking and Lending Technology (BLT) area leverages machine learning technologies to enrich transaction data and develop our foundational models. We are looking for a passionate Data Scientist who will be instrumental in driving the next generation of banking and lending solutions. You will work with cutting-edge ML technologies, leveraging your expertise to extract structured information from transaction descriptions and deploy ML systems in high throughput environments.As a member of our team, you will:

• Develop and implement machine learning models to enrich transaction data.
• Work closely with our engineering team to integrate models into our MLOps pipeline using Kubeflow.
• Train models on accelerated hardware like GPUs using PyTorch.
• Deploy and scale ML systems using Nvidia Triton Inference server.
• Collaborate with cross-functional teams to ensure our models meet business needs and performance standards.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

• Master's Degree in Computer Science, Mathematics, Physics, or other quantitative field.
• 3-5 years of work experience, preferably from building products rather than internal analysis/support.
• Fluent in Python and SQL (BigQuery).
• Experience with Deep Learning frameworks, particularly PyTorch.
• Experience working in an MLOps pipeline, preferably with Kubeflow.
• Proven experience training models on accelerated hardware like GPUs.
• Strong interest in Natural Language Processing (NLP) and algorithms.
• Mastery of concepts related to time and memory complexity.
• Interest in deploying ML systems in high throughput environments.

Bonus:
You have proven experience with agentic LLM flows for producing structured data.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.