Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)
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About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
This Sr. SW Engineer role is for a self-motivated individual with excellent software engineering skills on SAAS based platforms. Your primary focus will be on building and maintaining various critical solutions that integrates with internal/external systems or works standalone. You will be working closely with business on various requirements and ensure a strong partnership with all stakeholders. This role is for an individual whose experience with software development forms a strong basis for designing scalable and resilient integration that ensures highest quality and availability.
Essential Functions:
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
Preferred Qualifications:
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.
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Visa runs a global card payments network that carries transactions between the banks that issue cards and the businesses that accept them. It earns fees for authorising, clearing and settling payments and for services such as fraud tools.
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