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.

Are you passionate about machine learning?  Are you interested in the future of AI and eager to shape the next generation of intelligent applications using AI, ML and Automation? Visa’s Corporate Generative Intelligence (CGAI) team is seeking an experienced Machine Learning Engineer to join our growing team for our internal corporate GenAI products. We are looking for highly motivated software developers, who can continually research and apply the newest technologies to design and develop GenAI products, independently tackle issues and influence the teams to adopt the best test practices. The environment is fast-paced and our expectation is the candidate be nimble on their feet to adapt with the change of pace and ensure the deliveries are met on time with quality.

In this role, you'll be at the forefront of innovation, driving the development and implementation of cutting-edge Generative AI solutions that will revolutionize Visa's corporate functions. If you're ready to make a significant impact and work with a team of brilliant minds, this is the opportunity for you!

Essential Functions

• Understand and analyze product requirements and collaborate with product managers and technical leads to clarify requirements and ensure alignment.
• Design, develop and implement software features with the end user in mind.  Write clean, efficient and maintainable code to implement these features. Optimize code and model performance for efficiency and scalability.
• Understand and optimize content and data curation, data ingestion, and data storage and indexing
• Develop and execute unit, integration, and system tests to ensure feature reliability. Implement automated test cases with high code coverage. Validate the performance and accuracy of integrated AI models.
• Integrate Generative AI models into the software application.  Ensure that models are properly interfaced with other system components.
• Stay updated with the latest developments in AI and Machine Learning (ML) technologies to provide informed support to the team, including prompt processing, contextual grounding, actionable response generation, system prompt generation, and GenAI UI frameworks.
• Participate in code reviews to ensure code quality and consistency.
• Implement CI/CD practices to automate testing and deployment processes. Ensure that new features are seamlessly integrated into production environments.
• Liaise with other developers, business units, product managers, engineering and other applicable groups to ensure flawless execution

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.
 

Basic Qualifications
•2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications
3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
•Technical Skills: Comprehension of Software Development Lifecycle and risks, knowledge of Machine Learning and GenAI, familiarity with natural language processing (NLP) techniques and libraries, search technologies, chatbot interactions, web development, database systems (e.g., ChromaDB, Postgres, Redis, Neo4j, FAISS), cloud platforms & platform services (e.g., AWS, GCP, Azure). Understanding of CI/CD pipelines and tools, knowledge of containerization technologies (e.g., Docker, Kubernetes)
•Hands-on Coding Experience: Experience with programming languages and respective libraries (e.g., Python, JavaScript/TypeScript, Java/C#), Experience in writing clean, efficient, and maintainable code, code reviews, unit testing and coding standards, proficiency in version control systems like Git.
•Delivery of High-Quality Software Applications: Experience with software design patterns and principles, knowledge of testing frameworks and methodologies, ability to write comprehensive unit, integration, and system tests.
•Content/Data Engineering Understanding: Experience defining quality content standards, taxonomy, metadata and restructuring content, Collaboration with content authors and data ingestion team, Skills like Data analysis to understand content performance and user feedback, Familiarity with content management systems (CMS) and data management tools, Basic understanding of SQL or other database query languages.
•Data Ingestion Experience: Experience designing and implementing data pipelines, with data ETL, and with data integration from various sources (e.g., APIs, databases, flat files), Knowledge of SQL and NoSQL databases, Experience developing automation scripts to streamline data ingestion processes.
•Data Storage and Indexing: Experience designing scalable storage solutions and search strategies, Indexing and optimizing data retrieval, Managing and understanding of databases (e.g., NoSQL, RDBMS, Graph, VectorDB, Redis, Neo4J, Azure Ai Search), Implementing indexing strategies to optimize data retrieval, Ensuring data security and backup, Knowledge or usage of embedding and LLM models to enhance data quality and consistency.
•Agile Development Proficiency: Proficiency in Agile methodologies. experience working in cross-functional teams, proficiency in tools like JIRA.
•Business Acumen: Ability to understand the big picture and the success criteria, stay focused to achieve goals, conduct systematic and accurate research, get into details, prevent avoidable failures. A passion for innovation and a commitment to staying up-to-date with the latest technological advancements in Generative AI.
•Communications: Strong technical communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.