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Senior Machine Learning Engineer - Cloud AI Platform/Infrastructure image - Rise Careers
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Senior Machine Learning Engineer - Cloud AI Platform/Infrastructure - job 18 of 23

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!

Essential Functions:

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 while enhancing, optimizing our existing codebase and development procedures, as well as developing new solutions. We are seeking for a talented professional with a solid background in public cloud 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. Expectation of days in office will be confirmed by your hiring manager.

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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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 3, 2025

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