Staff ML Engineer, Machine Learning

Visa Knowledge Management Library Service is a brand-new initiative / team in BI&A Pillar in Data & AI Org in Visa. This position is for a Staff ML Engineer with solid development experience who will focus on creating new capabilities for Knowledge Management Library Service development processes. In this position, you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams.  Your strong technical leadership, problem-solving abilities, coding, testing and debugging skills is just a start.  You must be dedicated to filling product backlog and delivering production ready code.  You must be willing to go beyond the routine and prepared to do a little bit of everything.

You will be an integral part of the development team, sometimes investigating new requirements and design and always working on ways to make us more efficient and provide better solutions to our end customers. The role is for a self-organized individual with knowledge of web application and web service development. The candidate will perform hands-on activities including design, documentation, development, and test of new functionality. Candidate must be flexible and willing to switch tasks based on team’s needs.

 As a Staff ML 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:

• Develop platforms, applications, and solutions powered by machine learning to tackle business challenges and enhance product performance.
• Write high-quality, efficient, testable code using one or more of the programming language Java, Python, Rust, JavaScript and/or scala.
• Implement 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.

Basic Qualifications:
• 6 years of work experience with a master’s degree in computer science/computer engineering
or related field (e.g. Masters, MBA) or up to 3 years of relevant experience with a PhD.
• 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.
• Hands-on experience with web service standards and related patterns (REST, gRPC).
• Hands-on experience and/or academic background developing systems for the machine learning
lifecycle: data preprocessing and feature extraction, model training and evaluation, and deployment
and monitoring.
• Hands-on experience and/or academic background partnering with data scientists and can speak
knowledgeably about the major machine learning paradigms, algorithms, software tools,
infrastructure and workflow needs.
• Strong interpersonal, facilitation, and leadership skills along with effective communication (both
written and verbal) skills and the ability to present complex ideas in a clear, concise way.

Preferred Qualifications:
• 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.
• Publications or presentations in recognized computing journals/conferences is a plus. 
• Payment industry experience is a plus.

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.