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Lead MLP Software Engineer

usbank.com Logo

U.S. Bank National Association

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Location:
United States , Cincinnati ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

126820.00 - 149200.00 USD / Year
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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.

Job Responsibility:

  • 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

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 have:

  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
February 20, 2026

Expiration:
February 28, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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