Senior ML Engineer — AI-Driven Merchant Data Platform

Visa; Foster City (CA); On-site; USD 145,200 - 224,800; Full time

Job summary

Visa is seeking a Senior Machine Learning Engineer for the Merchant Data Platform to advance AI-powered merchant analytics. You will design and deploy scalable models and pipelines to enrich merchant data, with focus on data quality, real-time inference, and cost efficiency.

You will apply NLP, LLMs, and probabilistic methods to tackle name normalization, brand mapping, and deduplication. You will collaborate with product managers, data engineers, and platform teams, mentor junior engineers, and

Qualifications

• 2+ years of relevant work experience and a Bachelor’s degree, OR 5+ years of relevant work experience.
• Experience in developing and implementing AI/ML models and algorithms.
• Experience in designing and building scalable machine learning pipelines.

Responsibilities

• Design, develop, and deploy scalable ML models and pipelines to enrich merchant data, including entity resolution and data standardisation.
• Build end‑to‑end ML solutions (data ingestion, feature engineering, model training, deployment, monitoring).
• Apply NLP, LLMs, and probabilistic modelling to solve data challenges.
• Partner with product managers and engineers to translate business problems into ML solutions.
• Develop and maintain data quality frameworks and observability systems to monitor model performance.

Skills

Python

ML systems

NLP

LLMs

MLOps

Distributed systems

Data pipelines

Mentoring

Communication

Education

Bachelor's degree

Advanced degree

Tools

TensorFlow

PyTorch

Spark

Cloud platforms

Job description

Visa is seeking a Senior Machine Learning Engineer for the Merchant Data Platform to advance AI-powered merchant analytics. You will design and deploy scalable models and pipelines to enrich merchant data, with focus on data quality, real-time inference, and cost efficiency.

You will apply NLP, LLMs, and probabilistic methods to tackle name normalization, brand mapping, and deduplication. You will collaborate with product managers, data engineers, and platform teams, mentor junior engineers, and