Platform Engineer - ML/AI Platforms

  • Full-time
  • Job Family Group: Technology and Operations

Company Description

Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind – making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks. We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visa’s sponsorships, including the Olympics and FIFA™ World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.

Job Description

We're looking for an experienced engineer for the build and operation of our AI-Platform-as-a-Service offering for our analytics and research communities. You would gather customer’s technical requirements and the business drivers, and translate that into the right sized AI platform with the right tech stack and capacity to service these business requirements. You will also be responsible for bringing in the best practices in platform management, montoring and capacity planning. In general, you are able to provide sound methods and identify key results to support strategic decisions. Ideally, you have excellent communication skills, and you can work effectively and efficiently with everyone from fellow analysts to business partners.

 Responsibilities

  • Understand end to end implementation and architecture of products/apps in production to optimize and ensure efficiency
  • Deep understanding and expertise in engineering an entire platform (Infrastructure build, operational support/monitoring, workload management, Capacity planning etc.)
  • Develop and enhance platform best practices and educate Visa researchers and analysts on best practices
  • Working closely with Engineering and operation teams, work on key deliverables ensuring production stability and scalability
  • New project sizing and SME support
  • Take ownership of Platform architecture and drive it to the next level of effectiveness to support current and long-term analytics and research needs.
  • Good knowledge of Hadoop functionality.
  • Quick Leaner and willingness to learn New technologies like Pystorm, H2O, Tensorflow, Salford, DMExpress, R and many more. Prior experience will be highly regarded
  • Excellent verbal and written communication and presentation skills, analytical and problem solving skills.
  • UNIX scripting at least at intermediate level.
  • Sound knowledge of and ability to Manage applications to support Machine Learning and Deep Learning Models

Qualifications

  • BS or MS in Statistics, Mathematics, Computer Science, Economics, Engineering, or other related field
  • Excellent communication skills: ability to translate robust analytics and metrics into simple to understand takeaways, and comfort creating presenting findings to management and business partners
  • Ability to develop and maintain effective relationships with key product partners
  • A strategic thinker who can help execute plans for multiple stakeholders
  • A collaborator who can work across operating styles and can bring together multiple perspectives.
  • Strategic planning experience, the ability to influence change, and the dream to operate effectively within a dynamic organization
  • Strengths in meeting objectives through influence, facilitation and team building
  • Strong analytical skills with ability to collect organize; analyze significant amounts of information and massive datasets (expertise in SQL, Hive)
  • Technical expertise in data mining: statistical distribution, missing/outliers data statistics, segmentation, regression, A/B testing, hypothesis testing, etc.
  • Experience with Hadoop/Spark, Kubernetes, TensorFlow, Caffe and H20.ai
  • Experience developing analytic products, technologies, and platforms
  • Experience building new AI/ML technologies

Additional Information

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of Article 49 of the San Francisco Police Code.


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