Principal ML Engineer (Expertise in distributed systems) - AI as Services

Payments has become a very active/hot area in the last couple of years creating a strong demand for innovation. This will be a very exciting area in the next 5 to 10 years. Not only is VISA a leader in the payment industry and has been for a long time but it is also quickly transitioning into a technology company that is fostering an environment for applying the latest technology to solve exciting problems in this area.

Visa AI as a Service (VAIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities privacyenhancing computation and cloud native platforms VAIaS automates the updates to data models and applications. Combined with strong AI governance VAIaS optimizes the performance scalability interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space learn fast and make big impacts Visa AI as a Service is an ideal place for you!

This position is for a Principal Machine Learning Scientist with solid Machine Learning System development experience who will contribute to both strategic and tactic planning and execution to continuously advance AI Platforms vision and mission. In this position you are first a passionate and hardworking machine learning specialist and system architect that can work in a multifaceted environment as a member of Agile Scrum teams.

You will be an integral part of the leadership team setting up technical roadmap introducing the latest machine learning and system technology to the team working with development managers and teams to identify and resolve technical challenges and working with different products and data science teams to streamline the feature request and model onboarding.

Essential Functions:

• Collaborate with project teams data science teams and development teams to drive the technical roadmap and guide development and implementation of new data driven business solutions.
• Drive technical standard and best practices and continuously improve AI Platform engineering scalability.
• Architecture and design of AI Platform services including Machine Learning Engines In Memory Computing Systems Streaming Computing Systems Distributed Data Systems and etc in Golang Java and Python.
• Coordinate the implementation among development teams to ensure system performance security scalability and availability.
• Coaching and mentoring junior team members and evolving team talent pipeline.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications :

Basic Qualifications:
12 years of relevant work experience with a Bachelors Degree or at least 9 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 6 years of work experience with a PhD OR 15 years of relevant work experience.

Preferred Qualifications:
15 or more years of experience with a Bachelors Degree or 12 years of experience with an Advanced Degree (e.g. Masters MBA JD or MD) PhD with 9 years of experience
Strong experience in innovative areas such as Machine Learning Deep Learning Stream Computing MLOps InMemory Computing.
Experience with Rust Golang or Java.
Any experience with machine learning model latency reduction transformer model architecture model pruning or quantization is highly preferred.
Expert in web service standards and related patterns (REST gRPC)
Expert in developing large scale enterprise class distributed system or subsystems that require high availability lowlatency & strong data consistency computing.
Authority in architecting solutions with Continuous Integration and Continuous Delivery in mind
Expert in distributed inmemory computing technologies like Redis
Experience developing proper metrics instrumentation in software components to help facilitate realtime and remote problem solving /performance monitoring.

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.

Remote Work :

No

Employment Type :

Fulltime