Lead ML Engineer, Machine Learning

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

GenAI Knowledge Assets is a new initiative within the Data and AI Platform organization. The Lead AI/ML Engineer will play a key role in designing and developing an enterprise-level solution for GenAI Knowledge Assets. This includes developing a business strategy, building knowledge management orchestration, and leading metadata repository design, building Taxonomy by integrating various tools, product development to create value for all the Visa GenAI solutions.

Job Description:

As a Lead AI/ML engineer for the GenAI Knowledge Assets team, you will play a critical role in developing and delivering the technical vision of the team. You will work closely with all the stake holders across the organization to design and develop an enterprise-level solution for GenAI Knowledge Assets, building knowledge management orchestration, and create value for Visa enterprise GenAI solutions.

• AI / Generative AI represent a remarkable technological advancement with profound impact on the corporate landscape and a promise of increased worker efficiency. However, its effective utilization is contingent upon the availability of high-quality content for the right AI solutions and the right internal audiences. 
• The strong strategic and operational management of Visa documents and data for use with our emerging set of GenAI tools will be critical. The principal engineer role will have an exciting set of responsibilities at the frontier of driving GenAI adoption and information stewardship. This role will be a critical catalyst for innovation in the use of GenAI. 
• This role will be responsible for building metadata and taxonomy of unstructured data enabling Visa GenAI applications access to Visa’s valuable document and data assets. Developing the longer-term strategy for GenAI adoption and the required supporting cultural transformation.

Essential Responsibilities: 

• You will leverage sound architectural principles to implement effective and efficient solutions. 
• You will be a lead working with other developers on building applications from scratch to pushing them into production. 
• You will explore and evaluate emerging technologies, prototype, and strategize its adaptation within Visa. 
• You will lead code reviews, and deliver high quality code
• Support production systems and constantly improve our user experience. 
• Follow established software development guidelines and Visa security standards 
• Build and maintain relationships with the agile team, the user community, architects, and support teams to understand requirements and implement effective solutions 

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+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work
experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with
a PhD, OR 13+ years of relevant work experience.
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
• Bachelor degree in a technical field such as computer science, computer engineering or related field
required. Advanced degree preferred.
• Experience programming in at least one or more in Java, Python, Scala and Go
• Strong understanding of algorithms and data structures
• Experience and/or academic background 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.
• Good understanding and experience leading GenAI Knowledge Assets related initiatives.
• Experience leading design and development of mission-critical, secure, reliable systems
• Experience leading design & development of data-centric solutions - Knowledge management /
GenAI solutions, Metadata and Ontology / Taxonomy solutions.
• Strong experience with agile methodologies & software development lifecycle principles
• Excel in partnering with Product leaders and technical product managers on requirements
workshops, helping define joint product/technology roadmaps & driving prioritization.
• Familiarity with AI technologies, specifically with OpenAI's GPT models.
• Strong problem-solving skills and attention to detail.
• Excellent verbal and written communication skills.
• Ability to work independently and as part of a team.
• Proven experience delivering large scale, highly available production software. Ability to handle
multiple competing priorities in a fast-paced environment

Additional Information

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.