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Sr. ML Scientist (4-6 years' experience, Build Transformer-based models, Inference Engineering)

Visa · Posted Oct 21

Digital payment technology platform and global payment card services corporation

Bengaluru, IndiaFull-timeHybridSenior Level4–6 years₹40.0L–₹65.0L yearly54 applicants
BankingPaymentsFinancial ServicesCredit CardsFintechPublic Company
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About the role

Visa is a global payments technology company facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. The team is building AI that protects and powers global commerce and money movement, applying machine learning, foundation models, and intelligent decision systems at scale. As a Senior ML Scientist, the role involves designing, experimenting with and deploying state-of-the-art ML/AI models, driving research and patents, and integrating models into production pipelines alongside engineering and product teams, with access to top-tier compute, tools, and datasets.

What you will do

  • Extract insights from large-scale Visa datasets across business lines to define high-value, fit-for-purpose problems beyond payments - driving clarity and framing business impact with precision.
  • Rapidly design, experiment, and deploy SOTA ML/AI models, owning the full lifecycle and ensuring solutions are scalable, measurable, and aligned with strategic goals.
  • Lead future-forward AI/ML research, proactively identifying emerging techniques, publishing influential work, and filing patents to amplify Visa’s innovation footprint.
  • Integrate models into production with engineering and product teams, building robust, compliant pipelines with an eye on velocity, reliability, and business outcomes.

Skills used in this role

PythonPyTorchTensorFlowPySparkGPU ComputingMachine LearningDeep LearningReinforcement LearningOptimizationFoundation ModelsTransformersModel ArchitecturePre-trainingFine-tuningCommunication

What the employer is looking for

  • 4+ years of relevant work experience and a Bachelors degree, OR with an Advanced Degree in computer science, machine learning or related field preferred
  • Strong fundamentals in machine learning: Deep learning, RL, and optimization and solid understanding of the math behind them. You should be able to derive algorithms from first principles and understand their limitations.
  • Proven track record (3+ years) of building AI / ML models which can handle scale (think model architecture, size, latency, architecture, etc). You’ve shipped models that matter in production environments with real users and measurable impact.
  • You have experience in working in multiple domains, and have been able to connect different techniques to appropriate business problems, in the past.
  • Ownership and velocity: You take initiative, move fast, and iterate. You don’t wait for permission, you define the problem, build the solution, and drive it to completion.
  • Fluency in code. You write clean, efficient Python, and you’re comfortable navigating large codebases. You treat code as a medium for clarity and experimentation. You have experience in PySpark, PyTorch, tensor flow, as well as GPU based compute environments.
  • Research mindset with product intuition. You know when to read papers and when to write them. You can balance novelty with practicality and know how to translate ideas into working systems. You are deeply technical covering both ML as well as deep learning fundamentals spanning design, pre-training, fine-tuning, and evaluation.
  • Communication clarity. You can explain complex ideas simply, whether in a design doc, a pull request, or a hallway conversation. You write well and think clearly.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Visa

Visa Inc. is a multinational payment card services corporation that facilitates electronic funds transfers worldwide. The company empowers global commerce through its secure digital payment network, connecting consumers, merchants, financial institutions, and government entities across more than 200 countries and territories.

Industry
Banking
Company size
34100 employees
Founded
1958-09-18
Location
San Francisco, California, USA
Funding stage
Public Company

Funding

Public Company · $17.9B raised

Bank of AmericaInstitutional Investors
  • 2008-03-19IPO$17.9B

Leadership

RM
Ryan McInerney

Chief Executive Officer

CS
Chris Suh

Chief Financial Officer

JF
Jack Forestell

Chief Product and Strategy Officer

OJ
Oliver Jenkyn

Group President, Global Markets

KM
Kelly Mahon Tullier

Vice Chair, Chief People and Corporate Affairs Officer

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