Bengaluru · On-site

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

Full-timePosted 21 Oct

Salary: Not disclosed
Experience: 4–6 years
Eligible batches: 2020 · 2021 · 2022
Degree: Bachelor's, Master's, PhD
Location: BengaluruOn-site

About the role

Visa is seeking a senior machine‑learning scientist to join a focused AI team in Bengaluru. The role blends research and production, requiring you to design, experiment with, and ship transformer‑based models that power payment‑security and commerce‑optimization services at massive scale. You will work on‑site three days a week, collaborating with engineers, product managers, and domain experts.

Responsibilities

Analyze Visa’s extensive, cross‑business datasets to surface high‑impact problems and define clear, measurable objectives.
Design, prototype, and deploy state‑of‑the‑art ML/AI models, overseeing the end‑to‑end lifecycle from data preparation to production monitoring.
Lead forward‑looking research, identify emerging techniques, publish findings, and file patents to expand Visa’s AI portfolio.
Partner with engineering and product teams to integrate models into robust, compliant pipelines that meet latency and reliability targets.
Maintain model explainability, alignment, and robustness while influencing product strategy in a high‑stakes environment.

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Eligibility

4 + years of relevant professional experience in machine learning or AI.
Bachelor’s degree required; an advanced degree (Master’s or PhD) in computer science, machine learning, or a related field is preferred.
Demonstrated ability to ship scalable AI solutions that serve real users.
Strong communication skills, capable of translating complex concepts into clear documentation and presentations.

Skills

Proficiency in Python and experience with large‑scale codebases.
Hands‑on expertise with PySpark, PyTorch, and TensorFlow.
Deep knowledge of deep learning, reinforcement learning, optimization, and transformer architectures.
Ability to derive algorithms from first principles and assess their limitations.
Experience building production‑ready pipelines on GPU‑enabled environments.

Resume keywords

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Python
PySpark
PyTorch
TensorFlow
Deep learning
Reinforcement learning
Optimization
Transformer
Machine learning
Data engineering

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Benefits

Access to top‑tier compute resources, datasets, and cutting‑edge research tools.
Collaborative culture that encourages innovation and rapid experimentation.
Opportunities to influence product direction and contribute to high‑impact global payment systems.
Visa’s commitment to diversity, equity, and inclusion, with equal opportunity employment.

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