Job details
To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Solutions organization supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally. Visa Consulting & Analytics (VCA) Data Science team is a key part of the Global Data Solutions organization, a high-performing team of data scientists, data analysts and data engineers helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative, and advanced analytic solutions. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners.
To support our rapidly growing group we are looking for data engineers who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems.
ML Engineer role for Asia Pacific Region is based out of Bangalore. We are looking for an expert with deep expertise in big data/ ML engineering and can build large-scale data processing systems by using the latest database and data processing technologies. This is a Pan-regional position and plays a critical role in enabling the data platforms through which Data Scientists, Analysts, and BI Users drive solutions for our Visa clients.
Principal Responsibilities:
- Create and maintain optimal data pipelines, data marts and architecture(s), based on our Global Technology Stack
- Collaborate with the global data engineering team to adopt global engineering standards in AP region.
- Support operations, DevOps and MLOps process for data engineering and data science jobs
- Support platform upgrades and cloud migration of data assets and data pipelines
- Provide technical and business support for development of new platforms, tools for data science using both on-prem and cloud technologies.
- Identify, design, and implement internal process improvements to provide greater scalability to our existing client solutions
- Work with broader business stakeholders to assist clients and consultants with their data and infrastructure needs
- Partner with Technology on quarterly planning cycle and support management with relevant metrics to evaluate performance, stability, and reliability of various tools.
- Continuous focus on improving Infrastructure efficiency by analyzing logs of queries, tuning settings, translating queries if required.
- Review scripts for best practices, educating user base and building training assets for beginner and intermediate users.
- Increase consistency of tool usage by developing guidance for specific data science applications and sharing with user community
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
Minimum of bachelor’s degree or equivalent.
Qualification in Computer Science or Engineering ideal.
5+ years of ML Engineering / pipeline deployment and support experience.
Good knowledge of distributed data architecture, cloud native data platforms, commonly used BI tools, and approaches/packages used in machine learning build
Expertise in creating production software/systems in Python, PySpark and/or Scala, and a proven track record of identifying and resolving performance bottlenecks in production systems.
Experience with complex, high volume, multi-dimensional data, as well as machine learning models based on unstructured, structured, and streaming datasets.
Ability to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere.
Understanding of Payments or Banking Industry will be a plus
Good communication and presentation skills with ability to interact with different cross-functional team members across AP region
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.
