Visa is looking to transform commerce by leveraging AI technologies to enable the next era of commerce through its Visa Intelligent Commerce program. The company seeks to provide the infrastructure and tools for developers to build trusted, agentic experiences, and enhance current product lines while developing new ones for banking, fintech, and integration partners.
Requirements
- Four (4) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS)
- Two (2) years of experience designing, building/fine tuning ML/AI models around data insights, anomaly detection e.t.c
- Two (2) years of experience in designing, building, evaluating metrics for model performance and business outcome
- Three (3) years of experience building and pushing code into production.
- Expert in at least one of the following: Python, R, Java
- Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce
Responsibilities
- Provides technical expertise and mentors others to implement extensible, maintainable, and reusable data models and strategies and adheres to all security and privacy requirements for the application of artificial intelligence and data science.
- Develops strategies for and leads team's efforts to drive efficiencies across data extraction and ensure data quality and completeness using data wrangling, complex data modeling, and artificial intelligence.
- Ensures adherence to data management principles, governance, process, and tools to maintain data quality across products.
- Advises on technical specifications during discussions with collaborators (e.g., Product owners, business partners, Cybersecurity) to identify and clarify sophisticated technical or business requirements and identify business needs and upstream and/or downstream system/application dependencies.
- Defines technical standards for the design and documents the architecture for a complex product, using existing architecture design patterns.
- Oversees and establishes unit testing requirements of unit testing to confirm functional capability of code, acts as subject matter expert in testing for coding standards and security scans, strategically leads user acceptance testing in collaboration with customer across multiple domains.
- Identifies complex trends across relevant data sources and uses insights to plan platform-wide future solution updates.
Other
- The focus is on defining, executing, and delivering product and technical features at scale quickly and promoting a diverse culture of cross-functional collaboration and engineering excellence.
- Be an idea leader and bring industry best practices to benefit the team and the wider organization.
- The ability to balance demanding business capabilities with building for operational excellence while meeting regulatory, security and privacy requirements.
- Ability to quickly grasp and evaluate new ideas and technologies from internal and external sources.
- Lead/Influence multiple teams, matching them with appropriate technology and business problems while building a culture of both innovation and drive for excellence.
