AI/ML Cloud Engineer | Python, Kubernetes, Azure

U.S. Bank; Irving (TX); On-site; USD 98,000 - 116,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

Life insurance

Short-term and long-term disability

Pregnancy disability and parental lead

401(k) and employer-funded retirement

Paid vacation and holidays

Adoption assistance

Sick and Safe Leave

Job summary

U.S. Bank is seeking a software engineer to analyze, design, test, develop, and maintain best-in-class software experiences. You will collaborate with a cross-functional team and adhere to U.S.

Bank standards to ensure minimal impact to the customer experience. You will deploy and monitor cloud infrastructure for the Nimbus Uno model lifecycle platform, manage Azure Kubernetes workloads, build ML workflows with scikit-learn, PyTorch, and XGBoost, and develop Python APIs in a microservices

Qualifications

• Bachelor’s degree, or equivalent work experience.
• Two to three years of relevant experience.
• Experience with Python and modern software engineering practices.

Responsibilities

• Deploy, manage, and monitor cloud infrastructure supporting the Nimbus Uno model lifecycle platform.
• Build and support ML workflows using frameworks such as scikit-learn, PyTorch, and XGBoost.
• Develop scalable applications and APIs using Python and microservices-based architectures.
• Contribute to CI/CD pipelines, automated testing, containerization, and infrastructure automation efforts.
• Participate in code reviews, documentation, and Agile delivery processes while following software engineering standards and best practices.

Skills

Python

Azure

AWS

Kubernetes

Docker

CI/CD

REST APIs

Microservices

Terraform

ML frameworks

Education

Bachelor's degree or equivalent

Tools

scikit-learn

PyTorch

XGBoost

Docker

Kubernetes

Terraform

Job description

U.S. Bank is seeking a software engineer to analyze, design, test, develop, and maintain best-in-class software experiences. You will collaborate with a cross-functional team and adhere to U.S.

Bank standards to ensure minimal impact to the customer experience. You will deploy and monitor cloud infrastructure for the Nimbus Uno model lifecycle platform, manage Azure Kubernetes workloads, build ML workflows with scikit-learn, PyTorch, and XGBoost, and develop Python APIs in a microservices