Lead MLP Software Engineer

U.S. Bank • Cincinnati, OH

14d • Onsite

About The Position

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 Be part of a transformational journey where integrity, innovation, and collaboration drive meaningful impact. We are building a cutting‑edge Machine Learning Platform (MLP) to support AML (Anti‑Money Laundering) initiatives, enabling scalable model inferencing using open‑source technologies and Kubernetes. We seek a strong technical leader who is passionate about engineering excellence, agile delivery, and driving platform adoption across business teams.

Requirements

• Bachelor’s degree or equivalent work experience
• 6+years of hands‑on software engineering experience
• Strong expertise with ML platform tooling, model inferencing frameworks, AKS/Kubernetes, and open‑source technologies
• Proficiency in algorithms, data structures, design patterns, and modern cloud‑native development approaches
• Expertise with cloud platforms (Azure preferred)
• Exposure to Data Science concepts, model training and deployment processes
• Hands on experience with DevOps/MLOps practices
• Previous experience leading a team of engineers to take a project from inception to delivery working in a complex environment, collaborating with multiple enterprise teams

Nice To Haves

• Deep experience with the agile software development lifecycle and DevOps principles
• Ability to mentor and guide junior engineers, providing both technical and leadership support
• Strong understanding of how platform work ties to business strategy, AML use cases, and enterprise technology goals
• Excellent communication, analytical thinking, and problem‑solving skills; ability to influence stakeholders across the organization
• Experience engaging with compliance, risk, data governance, or regulated environments (preferred but not required)

Responsibilities

• Design, develop, test, operate, and maintain high‑quality software products and platform capabilities
• Take full‑stack ownership by writing production‑ready, testable, maintainable code
• Build and evolve an ML Platform supporting AML model inferencing using open‑source tools, AKS/Kubernetes, and modern cloud architectures
• Ensure optimal design aligned with architectural best practices—scalability, performance, reliability, and security
• Diagnose failures, propose design improvements, and drive operational excellence across the platform
• Lead onboarding efforts for business teams adopting inferencing workloads on the platform
• Conduct peer code reviews and promote engineering standards, DevOps practices, and compliance requirements
• Collaborate cross‑functionally with product owners, scrum masters, engineers, and external partners
• Champion continuous improvement, innovation, and emerging technology adoption to advance the bank’s digital transformation
• Anticipate and communicate risks, blockers, and delivery impacts early to drive efficient execution
• Address fintech‑related challenges including compliance, regulatory needs, and data governance in partnership with AML business teams

Benefits

• 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 grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees