U.S. Bank is seeking a Software Engineer 1 – AI/ML Engineer (MLOps) to analyze, design, test, develop, and maintain software experiences. The candidate will deploy, manage, and monitor cloud infrastructure supporting the Nimbus Uno model lifecycle platform in Cupertino, California, and manage containerized workloads in Azure Kubernetes Service. They will build and support ML workflows using scikit-learn, PyTorch, and XGBoost; collaborate with engineers and product teams to design, develop, test, and deploy AI-enabled solutions; and develop scalable Python applications using microservices architectures. The role includes deployment, monitoring, troubleshooting, and performance optimization of AI apps in production; supporting cloud-based AI solutions on Azure and AWS while adhering to security and operational best practices; contributing to CI/CD pipelines, automated testing, containerization, and infrastructure automation; participating in code reviews, documentation, and Agile delivery. Basic qualifications include a bachelor's degree or equivalent experience and two to three years of relevant experience. Preferred skills include Python development; ML lifecycle knowledge; Azure and/or AWS; REST APIs, microservices, distributed systems, scalable design; Docker, Kubernetes, CI/CD, and Infrastructure as Code (Terraform, ARM, or Bicep); application monitoring, logging, and production support; strong collaboration and communication. Location expectations: this role requires working from a U.S. Bank location three or more days per week. Note: This position is not open to visa s

U.S. Bank is seeking a Software Engineer 1 – AI/ML Engineer (MLOps) to analyze, design, test, develop, and maintain software experiences. The candidate will deploy, manage, and monitor cloud infrastructure supporting the Nimbus Uno model lifecycle platform in Cupertino, California, and manage containerized workloads in Azure Kubernetes Service. They will build and support ML workflows using scikit-learn, PyTorch, and XGBoost; collaborate with engineers and product teams to design, develop, test, and deploy AI-enabled solutions; and develop scalable Python applications using microservices architectures. The role includes deployment, monitoring, troubleshooting, and performance optimization of AI apps in production; supporting cloud-based AI solutions on Azure and AWS while adhering to security and operational best practices; contributing to CI/CD pipelines, automated testing, containerization, and infrastructure automation; participating in code reviews, documentation, and Agile delivery. Basic qualifications include a bachelor's degree or equivalent experience and two to three years of relevant experience. Preferred skills include Python development; ML lifecycle knowledge; Azure and/or AWS; REST APIs, microservices, distributed systems, scalable design; Docker, Kubernetes, CI/CD, and Infrastructure as Code (Terraform, ARM, or Bicep); application monitoring, logging, and production support; strong collaboration and communication. Location expectations: this role requires working from a U.S. Bank location three or more days per week. Note: This position is not open to visa s