Job description
Company Description
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you’ll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world.
Progress starts with you.
Job Description
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.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
Basic Qualifications:
- 3+ years of relevant work experience and a bachelor’s degree, OR 5+ years of relevant work experience
- Minimum 3 years hands-on expertise with Python.
- Working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase.
- Strong technology problem-solving skills.
- Having worked in back-end application development to deployment.
- Willingness to contribute to handling system upgrades.
- Willingness to support production application.
- Willingness to support over weekend when required.
- 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.
Additional Qualifications (good to have):
- Having knowledge on big data systems like Apache spark, Hadoop, hive.
- Expertise in front-end technologies, including JavaScript, CSS3 and HTML5 and third-party libraries such as Angular is a plus.
- Working with AWS environment.
- Having knowledge in Gen AI technologies.
- Having knowledge in Airflow.
- Having experience in building MLOPs solutions.
- Having experience in Machine learning model building.
- Having experience working with MLFlow.
- Having experience in working with environments like Triton or Tensor RT.
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.
