Lead Machine Learning Engineer- AI Experimentation Platform - job 2 of 20

The AI Experimentation Platform (AIEP) team, a key component of the Data and AI Platform (DAP) technology organization within Visa, is at the forefront of harnessing the power of Artificial Intelligence (AI) to drive strategic growth and operational efficiency. The team is dedicated to developing an advanced platform that fosters technological innovation and delivers impactful solutions. This dedicated team is an integral part of Visa's commitment to harnessing AI's power, reflecting the company's forward-thinking approach to technological innovation. By creating an environment that fosters AI experimentation, they are paving the way for Visa's future growth and continued success. 

As a Lead Machine Learning Engineer, you will have the unique chance to make a direct and meaningful impact by delivering solutions that powers AI systems. You will design, enhance, and build solutions dealing with the next generation AI/ML and GenAI technology and be an agent of transformation. We deliver and support strategic goals and have a lasting impact on our enterprise. We aim to stay ahead of the curve adapting to the advancement of Generative AI and keep our business miles ahead of our competitors.  

Essential Functions: 

• Design and spearhead the development of platforms, applications, and solutions driven by machine learning to address business challenges and elevate product performance. 

• Lead the development of high-quality, efficient, and testable code using programming languages such as Java, Python, Rust, JavaScript, and/or Scala. 

• Lead and actively engage in the implementation of machine learning pipelines and workflows for data preprocessing, feature engineering, model training, and evaluation. 

• Drive the development effort end-to-end for timely delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and align with all applicable standards.  

• 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.  

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.