Software engineer – AI​/ML Engineer; MLOps

Position: Software engineer 1 – AI/ML Engineer (MLOps)
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career.

Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description "This position is not open to visa sponsorship"This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience.

The candidate will be adept with the agile software development lifecycle and Dev Ops principles.

Essential Responsibilities:

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.

Basic Qualifications:

Bachelor’s degree, or equivalent work experience Two to three years of relevant experience

Preferred Skills/

Experience:

Experience developing applications using Python and modern software engineering practices.

Knowledge and experience with the Machine Learning Lifecycle.

Experience with Azure and/or AWS cloud platforms and cloud-native application development.

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 application monitoring, logging, troubleshooting, and production support practices.

Strong collaboration, problem-solving, and communication skills with the ability to work effectively in a team environment.

Location expectations

This role requires working from a U.S. Bank location three (3) or more days per week.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits:

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

Healthcare (medical, dental, vision)
Basic term and optional term life insurance

Short-term and long-term disability

Pregnancy disability and parental leave
401(k) and employer-funded retirement plan

Paid vacation (from two to five weeks depending on salary…