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 DescriptionDesign, develop, and deploy scalable machine learning products with a focus on online prediction.
Build and maintain infrastructure and tooling as a platform for data scientists.
Collaborate with cross-functional teams to integrate ML solutions into production systems.
Monitor and maintain the performance and reliability of ML models post-deployment.
Stay current with the latest advancements in machine learning and related technologies.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
QualificationsRequired:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Comfortable work with multi-cloud setup and experience with AWS or/and GCP and containerized environment like Kubernetes.
Solid understanding of machine learning lifecycle and fundamentals.
Expertise in Python.
Familiarity with Terraform, GitHub and GitHub Actions.
Excellent problem-solving skills and attention to detail.
Bonus Qualifications:
Experience with Vertex AI, specifically in online prediction.
Experience with Cloud Run and Workload Identity Federation.
Experience with kubeflow pipelines
Experience with Triton inference server and TensorRT
Understanding of data security and privacy regulations.
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.
Top Skills
What We Do
At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.
We are looking for people like YOU. Come join a people-centric company where you can invest in your career.
For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.
Why Work With Us
Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.
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