Principal Machine Learning Engineer

Company Description:

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Job Description:

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

Location: Bangalore, KA

Work mode: Hybrid (2/3 days' work from office)

The Opportunity:

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.

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.

Qualifications:

• 15 or more years of experience with a Bachelor's 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, In-Memory 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, low-latency, & strong data consistency computing.
• Authority in architecting solutions with Continuous Integration and Continuous Delivery in mind
• Expert in distributed in-memory computing technologies like Redis
• Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote problem solving /performance monitoring.

**We do not expect that any single candidate would fulfill all these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa.