4 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Translate business needs into technical solutions and contribute to end-to-end AI/ML and generative AI projects.
- Design and implement deep learning architectures, foundation models, RAG solutions, fine-tuning strategies, prompt-engineering frameworks, and multimodal AI systems.
- Build and govern production-grade AI platforms using LLMOps, AgenticAIOps, and MLOps practices.
- Explore reinforcement learning, chain-of-thought reasoning, tool-augmented agents, and emerging AI capabilities through research and development initiatives.
- Define model validation, testing, monitoring, governance, ethical AI, bias mitigation, explainability, and regulatory compliance standards.
- Develop agentic systems with latency reduction, guardrails, prompt-injection defenses, and red-team practices.
Requirements
- 10–12+ years of relevant AI/ML experience with demonstrated leadership delivering enterprise-scale AI solutions.
- Hands-on expertise with generative AI, LLMs, prompt engineering, fine-tuning, and production deployment of GenAI applications.
- Experience with agentic AI architectures, multi-agent systems, autonomous reasoning, tool-use agents, and workflow orchestration platforms.
- Deep-learning experience across transformers, reinforcement learning, computer vision, NLP, and time-series forecasting.
- Proficiency with software languages such as React for integrating AI solutions into applications or visual interfaces.
- Experience implementing production ML systems, including model monitoring, A/B testing, feature stores, model registries, and automated retraining pipelines.
- Ability to communicate insights to technical and non-technical audiences, with strong analytical thinking and attention to data and model quality.
- A master’s or PhD in Computer Science, Machine Learning, or Software Engineering is preferred.
- Open-source AI contributions or participation in AI research communities is preferred.
- Financial-services or credit-card analytics experience is a plus.
Benefits
- Visa requires at least three days in the office each week, with specific expectations confirmed by the hiring manager.
- Visa is an equal opportunity employer and considers qualified applicants without regard to protected characteristics.
Categories
About Visa
Visa builds and operates a global digital payments network that connects consumers, merchants, financial institutions, and governments. It earns fees for processing card transactions and offering risk, data, and value‑added services through VisaNet and products like tokenization and tap‑to‑pay. Founded in 1958 and headquartered in Foster City, California, Visa is a public company (NYSE: V) serving clients in more than 200 countries and territories.