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.
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Team Summary:
The Risk and Identity Solutions (RaIS) team provides risk management services for banks, merchants, and other payment networks. Machine learning and AI models are the heart of the real-time insights used by our clients to manage risk. Created by the Visa Predictive Models (VPM) team, continual improvement and efficient deployment of these models is essential for our future success. To support our rapidly growing suite of predictive models we are looking for engineers who are passionate about managing large volumes of data, creating efficient, automated processes and standardizing ML/AI tools.
Job Description
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.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Basic Qualification
-2+ years of relevant work experience and a Bachelors degree, OR 5+ years of
relevant work experience
Preferred Qualification
-3+ years of relevant work experience and a bachelor’s degree, OR 5+ years of
relevant work experience
-Minimum of 3 years of hands-on expertise with Python.
-Expertise in front-end technologies, including JavaScript, CSS3 and HTML5 and
third-party libraries such as Angular.
-Working with one or more of the following database technologies:
DB2, MySQL and NoSQL data warehouses such as Mongo.
-Strong technology problem-solving skills.
-Experience in working with distributed computing systems.
-Proficient in one or more scripting languages: Unix Shell, power shell etc.
-Willing to go extra mile and strong communication skills.
-Willing to learn new technologies and doing proof of concepts.
-Having knowledge on big data systems like Apache spark, Hadoop, hive.
-Having knowledge in Gen AI technologies.
-Having experience in building MLOPs solutions.
-Having experience in Machine learning model building.
-Having experience in Feature engineering using Apache spark.
-Having experience in working with environments like Triton or Tensor RT.
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.