AI Engineer at Visa

Visa is a global leader in digital payments and financial technology.
The company enables secure transactions between consumers, merchants, banks, and governments across 200+ countries.
Visa operates one of the world’s most advanced payment processing networks.
The organization focuses heavily on AI, machine learning, cybersecurity, and cloud technologies.
Visa provides opportunities to work on large-scale distributed systems and innovative AI solutions.

Visa is hiring AI Engineers to work on AI-driven payment and risk management platforms.
The role involves building scalable AI infrastructure and distributed backend systems.
Candidates will work with large-scale datasets, real-time analytics, and machine learning workflows.
Engineers will collaborate with AI/ML researchers, product teams, and platform engineers.
The position focuses on cloud-native development, automation, and advanced analytics.
Candidates should possess strong programming and problem-solving skills.
Experience with big data technologies and AI model deployment is preferred.
Visa offers exposure to enterprise-grade AI systems handling millions of secure transactions.
The company encourages innovation, technical leadership, and continuous learning.
This role is suitable for candidates interested in AI, backend systems, and fintech technologies.

Design, develop, and maintain AI and machine learning solutions.
Build scalable backend systems and cloud-native AI platforms.
Collaborate with cross-functional engineering and data science teams.
Develop and optimize data pipelines, feature engineering workflows, and ML infrastructure.
Work on AI/ML model deployment, monitoring, and operationalization.
Improve system reliability, scalability, and performance for AI-driven products.
Participate in architecture discussions, code reviews, and engineering best practices.
Support automation, analytics, and intelligent payment technology initiatives.

Bengaluru, Karnataka, India

Not specified

Full-time

Bengaluru, Karnataka, India

Not specified

Full-time

Noida, Uttar Pradesh, India

Not specified

Full-time

Bangalore, Karnataka, India

Not specified

Full-time

Bangalore, Karnataka, India

Not specified

Full-time

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