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Lead Machine Learning Engineer- AI Experimentation Platform - job 13 of 20

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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.

Average salary estimate

$140000 / YEARLY (est.)

min

max

$120000K

$160000K

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What You Should Know About Lead Machine Learning Engineer- AI Experimentation Platform, Visa

As a Lead Machine Learning Engineer with the AI Experimentation Platform (AIEP) team at Visa in Austin, you're stepping into a role that sits at the cutting edge of Artificial Intelligence and its application in business solutions. Here, the team is not just building technology; they’re crafting the future of AI-driven innovation that will enhance Visa's operational efficiency and strategic growth. Imagine designing and developing advanced platforms where your expertise will directly shape AI systems, working with next-gen AI/ML and Generative AI technologies. You’ll lead the charge in creating robust solutions that tackle complex business challenges and significantly boost product performance. Your responsibilities will include writing clean, efficient code in languages like Java, Python, and Scala, all while promoting best practices in machine learning workflows. Collaboration will be key, as you engage with senior technical staff and Project Managers to navigate challenges, track risks, and ensure timely delivery of high-quality solutions aligned with architectural standards. You'll get the chance to present technical capabilities and solutions in relatable business terms, showcasing your ability to bridge technology and business outcomes. Plus, this hybrid position offers a flexible work environment, allowing you to balance remote work with in-office collaboration 2-3 days a week. This role is a fantastic opportunity to make a lasting impact at Visa, ensuring the company stays ahead in the rapidly-evolving landscape of AI and machine learning.

Frequently Asked Questions (FAQs) for Lead Machine Learning Engineer- AI Experimentation Platform Role at Visa

What are the responsibilities of a Lead Machine Learning Engineer at Visa?

As a Lead Machine Learning Engineer at Visa, you're responsible for designing and developing machine learning platforms that address business challenges. You'll spearhead the creation of applications focused on AI and ensure compliance with architectural standards. Collaborating with senior technical staff, you'll navigate project management tasks while ensuring timely delivery of high-quality solutions.