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Director - Machine Learning

AT Visa
Visa

Director - Machine Learning

Bangalore, India

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.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Job Scope

As a Director (People Manager) in Data and AI Platform, you will

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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, inclusive of fulltime and contingent staff and own the throughput and deliverables of the teams.
 

The Work Itself:

The Director as a part of our Generative AI team, will 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.

Qualifications

12 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.

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.

Client-provided location(s): Bengaluru, Karnataka, India
Job ID: 37ecd0ac-27fe-42eb-a294-331b2098579d
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Long-Term Disability
    • HSA With Employer Contribution
    • On-Site Gym
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Health Reimbursement Account
    • Mental Health Benefits
    • Virtual Fitness Classes
    • HSA
  • Parental Benefits

    • Fertility Benefits
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
    • Happy Hours
    • Casual Dress
  • Vacation and Time Off

    • Paid Holidays
    • Paid Vacation
    • Volunteer Time Off
    • Summer Fridays
    • Leave of Absence
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K)
    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • Company Equity
    • 401(K) With Company Matching
    • Financial Counseling
  • Professional Development

    • Shadowing Opportunities
    • Access to Online Courses
    • Promote From Within
    • Learning and Development Stipend
    • Tuition Reimbursement
    • Mentor Program
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Lunch and Learns
    • Internship Program
    • Professional Coaching
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)