Machine Learning Engineer at Visa responsible for designing, building, deploying, and operating production-grade ML systems, including agentic AI systems, RAG pipelines, and multi-step agents. The role involves end-to-end ownership of ML models and services, MLOps practices, and engineering scalable APIs and serving layers, with a focus on NLP workloads at global scale.

Senior ML Engineer at Visa focused on designing, developing, and deploying scalable machine learning products for online prediction. The role involves building and maintaining ML infrastructure and tooling, collaborating with cross-functional teams, and ensuring the performance and reliability of ML models in production. Experience with cloud platforms (AWS/GCP), Kubernetes, Vertex AI, Triton inference server, and ML lifecycle fundamentals is required.