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Senior Machine Learning Engineer - Cloud AI Platform - job 1 of 13

Ready to make a global impact by industrializing AI?

Visa AI as a Service (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, AIaS powers and automates industrialization of data, models, and applications for predictive and generative AI. Combined with strong governance, AIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as a Service is an ideal place for you!

This role is for a Sr. ML Engineer – Cloud AI Platform, with a strong development background, whose primary objective will be to extend our AI as a Service platform to the Public Cloud, Multi-Cloud, and On-Premises environments while enhancing and optimizing our existing codebase and development procedures, as well as developing new solutions. We are seeking a talented professional with a solid background in public cloud, multi-cloud, on-premises, and AI/ML production systems. This role offers ample opportunities for learning and growth, and the chance to be part of delivering the next big thing for our AI as Services team. 

If you are passionate about cloud technology, AI, and machine learning, and are excited about making a significant impact, we would love to hear from you.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Average salary estimate

$150000 / YEARLY (est.)
min
max
$120000K
$180000K

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 4, 2025

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