Machine Learning Engineer
Core
Design, build, deploy, and operate production-grade machine learning systems for NLP and related workloads supporting Visa's core payment platforms.
Role type
Senior IC Machine Learning Engineer (NLP/Agentic AI)
Builds
Production ML systems, agentic AI pipelines (RAG, multi-step agents), scalable APIs, and GPU inference services for global payment transactions.
Domain
Payments technology, Natural Language Processing (NLP), Distributed Systems
Deliverable
production ML models
Required skills
Python, PyTorch, MLOps, GPU inference optimization, Kubernetes, Docker, Terraform, Cloud ML platforms (AWS/GCP/Azure), Agentic AI frameworks, System design
Preferred skills
C++/Go/Rust/Java, TensorFlow, Triton Inference Server, Kubeflow Pipelines, Feature engineering, Responsible AI
Technologies
PyTorch, TensorFlow, CUDA, ONNX, Triton, Kubernetes, Docker, Terraform, Kubeflow, Vertex AI, SageMaker
Responsibilities
Design and implement agentic AI systems (RAG, actor-critic loops); Build and maintain high-availability ML services and APIs; Develop end-to-end ML pipelines; Debug and optimize CPU/GPU inference and distributed workloads; Own ML model implementations from prototype to production.
Seniority
Senior, hands-on IC
