Machine Learning Engineer - Sr. Consultant level Machine Learning

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, privacy-enhancing 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 Platform's vision and mission. In this position, you are first a passionate and hard-working 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.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Basic Qualifications
8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications
9 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
5 years or more of experience in leading development teams
Proven knowledge of successful design, architecture and development using Big Data Hadoop, J2EE and Spark with large data volumes and transaction systems
Experience with Rust, Golang, Java, Python, or C/C++
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, low-latency, & strong data consistency computing.
Possesses a deep understanding of benefits or drawbacks of different integration patterns
Experience with GIT,Stash, Maven and Jenkins
Experience in MySQL, Redis DB or Elastic Search on Unix or Linux platform
Ability to solve complex software development, design issues
Ability to write clean, coherent code following established coding guidelines
Strong interpersonal, facilitation, and effective communication skills both written and verbal and the ability to present complex ideas in a clear, concise way
Experience developing as part of Agile or Scrum team is preferred
Passionate about delivering zero defect code that meet or exceed the proposed defect SLA and have high sense of accountability for quality and timeliness of deliverables
Ability to deliver on multiple projects and manage priorities based on changing directions
Highly driven, resourceful and results oriented
Demonstrated ability to lead and navigate through ambiguity
Past experience in Payments knowledge is preferred

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.