Sr. Manager, Machine Learning

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

As a Sr. Manage (People Manager) in Data and AI Platform, you will manage Visa Generative AI Platform team based in Bangalore, India where you will be responsible and accountable for end-to-end development and production support for Generative AI Platform - Core Services. This position will be responsible for day-to-day management of a team of up to 12 AIML and Data Engineers, inclsive of fulltime and contingent staff and own the throughput and deliverables of the teams.

The Work Itself:

As a part of our Generative AI team, you play a multifaceted role in the design, development, and deployment of our Large Language Model (LLM) applications. Key responsibilities will include creating applications based on the Retrieval-Augmented Generation (RAG) framework, developing efficient inferencing algorithms, and fine-tuning the LLM to cater to various applications.
This role will also involve leveraging various machine learning stacks to enhance system efficiency, researching new techniques to advance our LLM applications, and collaborating with cross-functional teams within the organization. In addition, the engineer will be responsible for documenting processes and workflows and sharing insights with the team.

This position requires a solid understanding of AI and machine learning principles, robust problem-solving skills, and the ability to thrive in a fast-paced, dynamic environment.
Essential Functions:

• Responsible for end-to-end software engineering aspects of design, development, testing and deployment of platform to support global customer needs, product innovations and technical initiatives.
• Responsible for technical capabilities of the product and the platform in terms of data design/architecture, UI/UX design/architecture, and API based backend systems.
• Create and promote an agile development culture in his or her team focused on Engineering Excellence with high quality code development and deployment to production.
• Facilitate knowledge transfer to the Engineering and Operations team during and after deployment.
• Work with geographically distributed teams on technical challenges and process improvements.
• Drive the strong automation culture with proven and open source- based technologies, frameworks, and best practices to reduce complexity and encourage operational excellence to the team.
• Engage and communicate with stakeholders of business, product, technology, operations, and customer success teams.
• Develop code, specifications, architecture and design documents as needed.

People Management:

• Build and maintain a high performing team, hire and retain the right talents in the right roles.
• Foster a culture of teamwork, collaboration, and mentoring.
• Develop and empower direct reports to make appropriate technical decisions.
• Ensure resource availability to support deployment activities in various environments.
• Effectively handle goal setting and team performance management.
• Identify process improvements and/or ineffective use of project hours and resources.
• Manage development resources across multiple technologies including Big Data technologies, Virtualization, Containerization, AIML and various open source and public cloud offerings.
• Work collaboratively with senior management, architecture, product management and lead development staff to develop broadly acceptable solutions.
• Take complete responsibility of the full life cycle of projects and oversee software release implementations when required.
• Demonstrate Visa's core values and maintain a positive and open demeanor.

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

10 or more years of work experience with a Bachelor’s Degree or Advanced Degree (e.g. Masters, MBA, JD, MD) or with a PhD.
Solid understanding of Large Language Models, Generative AI systems and applications.
Outstanding verbal, written, presentation, facilitation, and interaction skills,
including ability to effectively communicate architectural issues and
concepts to multiple organization levels.
Strong problem solving skills to deep dive, brainstorm, and choose best
solution approach.
Have prior hands-on experience using languages such as Python, Go, Java, Python, Rust. Strong on coding and code reviews.
Experience in leading teams that have built full stack applications from the
ground-up using distributed high performance and scalable technologies
such as K8s, Docker, Ray, Airflow, Hadoop, Spark, Kafka and so on.
Experience in leading teams that have built cloud platform solutions using
AWS, Azure and GCP for high performance real time AIML applications.
Experience in DevSecOps world - Github/Git, CI/CD Pipelines, Jenkins,
Ansible, Shell Scripts, Security Tools, Observability, Alerting, IaC etc.
Strong proponent of Innovation and open-source contributions.
Background in developing and deploying AIML platforms and applications
in on premises and public cloud infrastructure.

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.