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Technical Lead Software Engineer for Machine Learning PlatformU.S. Bank • United States
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Technical Lead Software Engineer for Machine Learning Platform

U.S. Bank
  • US
    United States
  • US
    United States
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À propos

At U.S. Bank, we're committed to delivering the best service possible. Our mission is to help customers and businesses make informed financial decisions while empowering our communities to thrive. We recognize that each individual’s potential is unique, and we offer a wide range of opportunities for career growth and development right from your first day. Job Description Join us in our exciting journey where integrity, innovation, and collaboration create a profound impact. We are in the process of developing a state-of-the-art Machine Learning Platform (MLP) to bolster our Anti-Money Laundering (AML) initiatives, allowing for scalable model inferencing through open-source technologies and Kubernetes. We are looking for a dynamic Technical Lead with a passion for engineering excellence and agile delivery, who will drive the adoption of this platform across various business teams. Key Responsibilities Design, develop, test, operate, and maintain high-quality software products and platform capabilities.
Take full-stack ownership by crafting production-ready, testable, and maintainable code.
Evolve the ML Platform supporting AML model inferencing utilizing open-source tools, AKS/Kubernetes, and modern cloud architectures.
Ensure optimal design that adheres to architectural best practices in terms of scalability, performance, reliability, and security.
Identify failures, propose design enhancements, and promote operational excellence across the platform.
Lead onboarding initiatives for business teams adopting inferencing workloads on the platform.
Conduct peer code reviews to uphold engineering standards, DevOps practices, and compliance requirements.
Collaborate with cross-functional teams, including product owners, scrum masters, engineers, and external partners.
Promote continuous improvement, innovation, and the adoption of emerging technologies to propel the bank's digital transformation.
Proactively communicate risks, blockers, and delivery impacts to facilitate efficient execution.
Address fintech-related challenges, such as compliance and data governance, in partnership with AML business teams.
Qualifications: Bachelor's degree or equivalent work experience.
6+ years of hands-on software engineering experience.
Required Skills/Experience 5+ years of technical leadership experience, with strong expertise in ML platform tooling, model inferencing frameworks, AKS/Kubernetes, and open-source technologies.
Proficiency in algorithms, data structures, design patterns, and modern cloud-native development principles.
Extensive knowledge of cloud platforms (Azure preferred).
Familiarity with Data Science concepts, as well as model training and deployment processes.
Practical experience with DevOps/MLOps practices.
Demonstrated experience leading a team of engineers through the entire project lifecycle in a complex environment, collaborating with multiple enterprise teams.
Preferred Skills & Experience In-depth knowledge of 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 initiatives align with business strategy, AML use cases, and enterprise technology goals.
Exceptional communication, analytical thinking, and problem-solving skills; ability to influence stakeholders across the organization.
Experience working with compliance, risk, data governance, or regulated environments (preferred but not required).
This role requires working from a U.S. Bank location three (3) or more days per week. Our benefits are designed to help you and your family thrive both in and outside of work, including healthcare, retirement options, paid vacation, and various leave policies. Join us in making a difference at U.S. Bank!
  • United States

Compétences linguistiques

  • English
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