Lead Machine Learning Engineer- AI Experimentation Platform

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

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. 

Qualifications

Basic Qualifications: 

• 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD.

Preferred Qualifications: 

• 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD.
• Experience programming in at least one or more in Java, Rust, Scala or Go.
• Strong understanding of algorithms and data structures.
• Experience in building and supporting scalable, reliable data solutions and AI/machine learning powered systems using modern big data and ML/AI technologies.
• Experience with MySQL and NoSQL databases such as Cassandra, including data model design, cluster setup, and performance tuning. 
• Hands-on experience with web service standards and related patterns (REST, gRPC). 
• Hands-on experience developing systems for the machine learning lifecycle: data preprocessing and feature extraction, model training and evaluation, and deployment and monitoring. 
• Familiarity with the associated open-source ecosystem (e.g., mlflow, cortex, seldon, Kubeflow, tfx) is a plus.  
• Knowledge and experience working on Single Page Applications development using Angular or similar framework is a plus.

Additional Informatio