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

The Role 

As a Staff Machine Learning Engineer at Visa Cross-Border Solutions (VXBS), you will play a vital role in the design and development of our machine learning platform. You will contribute to the establishment of standards & architecture and collaborate with product and engineering leaders to shape our technical and product roadmap. You are versed in the machine learning based products’ life cycle. 

 How you’ll make an impact? 

• Working as part of a cross-functional product team to develop solutions for our Cross-Border payment services. 

• Contributing to technical and architectural decisions 

• Gathering requirements and scoping out projects with the rest of the team 

• Actively promoting innovative thinking, designing processes that encourage more ideation 

• Acting as a filter balancing risk and reward in measurable ways 

Qualifications

• Experience designing and operating large MLOps platforms, including feature serving, designing and deploying real time pipelines. 
• Dealing with data on high volume in high availability production systems. 
• Proficiency in Cloud-based application development (we use AWS). 
• Proficiency in Container-based development i.e. Kubernetes, Docker. 
• Experience with one or more of these technologies: Spark, Databricks, SageMaker, Vertex AI, Kubeflow, Seldon. 
• Well versed in Python. 
• Experience monitoring production ML systems. 
• Strong knowledge and appreciation for software design and architecture. 
• Enthusiastic about delivery and experience working in a fast-paced agile environment. 
• Desire to work on an exciting product suite within a fast-moving technical business. 
• Excellent communication skills, ability to interact effectively with multidisciplinary teams. 
• Experience with FinTech, Fraud Detection or Payments 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.