Sr. 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

Visa Knowledge Management Library Service is a brand-new initiative / team in BI&A Pillar in Data & AI Org in Visa.

As a Sr ML Engineer, you will have the unique chance to make a direct and meaningful impact by delivering solutions that power 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.

Qualifications

Basic Qualifications: 
• 5 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters,
MBA, JD, MD, or PhD) in computer science/computer engineering or related field

Preferred Qualifications: 
• 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.
• 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. 
• 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.
• Hands-on experience with web service standards and related patterns (REST, gRPC). 
• Experience with MySQL and NoSQL databases such as Cassandra, including data model design,
cluster setup, and performance tuning. 
• Publications or presentations in recognized computing journals/conferences is a plus.  

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.