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Staff Machine Learning Engineer

2 months ago

Austin Texas, United States Visa Full time
About the Role

We are seeking a highly skilled Staff Machine Learning Engineer to join our AI Experimentation Platform (AIEP) team at Visa. As a key member of our Data and AI Platform (DAP) technology organization, you will play a critical role in harnessing the power of Artificial Intelligence (AI) to drive strategic growth and operational efficiency.

Key Responsibilities
  • Design, enhance, and build solutions dealing with next-generation AI/ML and GenAI technology to drive business impact.
  • Develop platforms, applications, and solutions powered by machine learning to tackle business challenges and enhance product performance.
  • Write high-quality, efficient, testable code using one or more of the programming languages Java, Python, Rust, JavaScript, and/or Scala.
  • Implement machine learning pipelines and workflows for data preprocessing, feature engineering, model training, and evaluation.
  • Collaborate with senior technical staff and Project Managers to identify, document, plan contingency, track, and manage risks and issues until all are resolved.
  • Present technical solutions, capabilities, considerations, and features in business terms.
  • Effectively communicate status, issues, and risks in a detailed and timely manner.
About the Team

The AIEP team is dedicated to developing an advanced platform that fosters technological innovation and delivers impactful solutions. We are an integral part of Visa's commitment to harnessing AI's power, reflecting the company's forward-thinking approach to technological innovation.

What We Offer
  • A unique opportunity to make a direct and meaningful impact by delivering solutions that power AI systems.
  • A collaborative and dynamic work environment that encourages innovation and growth.
  • The chance to work with a talented team of professionals who are passionate about AI and machine learning.
  • A comprehensive benefits package, including health insurance, retirement savings, and paid time off.