Senior ML Engineer

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.

Responsibilities

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-deployment.
• Stay current with the latest advancements in machine learning and related technologies.
  
  

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. 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. 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.