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

Overview

Senior ML Scientist role on a small team of scientists and inference engineers, turning research into production models for global payments and money movement.

What you'll do

• Extract insights from large-scale Visa datasets across business lines to define high-value, fit-for-purpose problems beyond payments, and frame 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.
• Integrate models into production with engineering and product teams, building robust, compliant pipelines with an eye on velocity, reliability, and business outcomes.

What you'll need

• 4+ years of relevant work experience and a Bachelor's degree in computer science, machine learning or a related field, OR an Advanced Degree in computer science, machine learning or a related field.
• Strong fundamentals in machine learning, including deep learning, RL, and optimization, with a solid understanding of the math behind them.
• Ability to derive algorithms from first principles and understand their limitations.
• Proven track record (3+ years) of building AI/ML models that handle scale (model architecture, size, latency).
• Experience shipping models that matter in production environments with real users and measurable impact.
• Experience working in multiple domains, connecting different techniques to appropriate business problems.
• Fluency in clean, efficient Python and comfort navigating large codebases.
• Experience with PySpark, PyTorch, TensorFlow, and GPU-based compute environments.
• Deep technical knowledge of ML and deep learning fundamentals spanning design, pre-training, fine-tuning, and evaluation.
• Ability to take initiative, move fast, define the problem, build the solution, and drive it to completion.
• Ability to explain complex ideas simply in design docs, pull requests, and conversation.

Details

• Location: Bengaluru, India.
• Work mode: at least 3 days in office, with expectations confirmed by the Hiring Manager.