Staff ML Engineer

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

• Design, 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-Fdeployment.
• 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.

Qualifications

Required:
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.

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.