AI/ML Software Engineer - Cloud, Python & Kubernetes

U.S. Bank; Chicago (IL); Presencial; USD 98.000 - 116.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare (medical, dental, vision)

Life insurance

Short-term and long-term disability

401(k) and employer-funded retirement

Paid vacation

Paid holidays

Adoption assistance

Sick leave

Descripción de la vacante

U.S. Bank is seeking a software professional to analyze, design, test, and maintain state-of-the-art software experiences. The candidate will deploy, monitor, and optimize cloud-based AI solutions, collaborating across teams to deliver scalable Python-based APIs and microservices.

Experience with Azure/AWS and containerized workloads is essential. The role emphasizes Agile delivery, DevOps practices, and contribution to CI/CD pipelines, with a strong focus on security and production readiness.

Formación

• Bachelor’s degree or equivalent work experience
• Two to three years of relevant experience
• Experience developing applications using Python and modern software engineering practices
• Knowledge of the Machine Learning Lifecycle
• Experience with Azure and/or AWS cloud platforms
• Understanding of REST APIs, microservices, distributed systems, and scalable application design
• Experience with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code (Terraform, ARM, or Bicep)
• Understanding of monitoring, logging, troubleshooting, and production support practices

Responsabilidades

• Deploy, manage, and monitor cloud infrastructure supporting the Nimbus Uno model lifecycle platform
• Manage containerized workloads running in Azure Kubernetes Services
• Build and support ML workflows using frameworks such as scikit-learn, PyTorch, and XGBoost
• Collaborate with engineers and product teams to design, develop, test, and deploy AI-enabled solutions
• Develop scalable applications and APIs using Python and microservices-based architectures
• Assist with deployment, monitoring, troubleshooting, and performance optimization of AI applications in production environments
• Support cloud-based AI solutions across Azure and AWS platforms while following security and operational best practices
• 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
• Location expectations: This role requires working from a U.S. Bank location three (3) or more days per week.

Conocimientos

Collaborative teamwork

Strong communication

Python development

Educación

Bachelor’s degree or equivalent

Herramientas

Azure Cloud

AWS Cloud

Docker

Kubernetes

CI/CD

Descripción del empleo

U.S. Bank is seeking a software professional to analyze, design, test, and maintain state-of-the-art software experiences. The candidate will deploy, monitor, and optimize cloud-based AI solutions, collaborating across teams to deliver scalable Python-based APIs and microservices.

Experience with Azure/AWS and containerized workloads is essential. The role emphasizes Agile delivery, DevOps practices, and contribution to CI/CD pipelines, with a strong focus on security and production readiness.