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Sr. ML Engineer

Visa · Austin, TX · Posted 94 days ago

$131k–$202khybridic
2+ yrs expAWSKubernetesMLOpsMachine LearningKubeflowCI/CDInfrastructure as CodeTerraform

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

The Sr. ML Engineer is responsible for designing, building, and managing the scalable cloud infrastructure that powers our AI and Machine Learning applications. Rather than focusing primarily on model building, this role is suited for a specialist with deep expertise in MLOps, AWS cloud architecture, Kubernetes, and system design. You will own key modules of the ML platform, perform architectural reviews, and implement robust deployment standards. The team is tasked with building secure, scalable pipelines and serving infrastructure for both traditional ML and modern Generative AI (LLM) workloads. The successful candidate will act as a design authority for model deployment, infrastructure automation, and platform security, shaping best practices to enable our data scientists and AI engineers to seamlessly transition models from research to production. All roles require digital fluency, including the ability to work with emerging technologies and AI-assisted tools - such as AI coding assistants (e.g., GitHub Copilot, ChatGPT, Claude Code, CLine), advanced reasoning GenAI models, and enterprise productivity tools - to enhance engineering productivity and support everyday work. Key Responsibilities:

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Related roles

There are 737 open roles at Visa right now. This role is one of 12 Machine Learning Engineer openings in Austin, TX and centers on Kubernetes, Kubeflow, Machine Learning, and Ai/ml Models.

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