at Visa
Full TimeVisa 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.
We are looking for a machine learning engineer to join our merchant data platform data science and modeling team to help build next generation AI powered merchant ecosystem.
In this role, you will help build machine learning solutions to enhance merchant data, discover insights, ensure data quality and power cross functional peers to unleash merchant data potential.
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:
• Bachelor's degree in computer science, Machine Learning, Data Science or
related field
• Skilled in SQL, Python and basic libraries for machine learning such as scikit-
learn and Pandas, as well as Jupyter Notebook
• Experience with Big Data and analytics in general leveraging technologies like
Hadoop, Spark, and Query Engines
• Experience in MLOps and production machine learning systems at large scale,
for example, writing model hosting cluster
• Experience in DevOps and CI/CD tooling and concepts such as docker and
Jenkins
• Relevant experiences in modeling techniques such as logistic regression,
Naive Bayes, SVM, decision trees, natural language processing or neural
networks
Preferred Qualifications:
• Advanced degree in computer science, Machine Learning, Data Science or
related field
• Modeling experience in card industry or financial service company
• Experience in Automation framework such as Tuber (Airflow), Metaflow
• Experience in cloud services (AWS preferrable – SageMaker, EMR, Glue)
• Understand ML infrastructure concepts such as feature store, batch inference
and model pipeline orchestration
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.
