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Machine Learning Engineering DirectorSwiftCruit • Chicago, Illinois, United States
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Machine Learning Engineering Director

SwiftCruit
  • US
    Chicago, Illinois, United States
  • US
    Chicago, Illinois, United States
Postuler Maintenant

À propos

Machine Learning Engineering Director Leads the strategy, architecture, and delivery of enterprise‑level machine learning models for various use cases. Oversees a team of engineers, ensuring strong execution, operational discipline, and alignment with enterprise standards for risk, compliance, and responsible AI. Builds and scales secure, resilient, and high‑performing platforms that enable enterprise‑wide AI adoption. Key Responsibilities Lead the vision, architecture, and roadmap, providing technical leadership across multiple engineering teams. Develop engineering managers and senior engineers while establishing standards, guardrails, and governance models. Own cloud‑native platform design and delivery across Azure and AWS, ensuring scalability, reliability, performance, and cost optimization. Ensure alignment with enterprise requirements for security, data privacy, compliance, and responsible AI practices. Drive cross‑functional collaboration with product, risk, security, and business stakeholders to enable secure and scalable AI adoption. Maintain strong awareness of team delivery, technical issues, and platform risks; review designs, code, and architectural decisions as needed. Ensure Agile practices are consistently followed, including sprint planning, backlog refinement, and delivery tracking. Enforce operational rigor across teams, keeping Jira artifacts current, transparent, and aligned to priorities. Provide ongoing feedback on team performance, resource allocation, and organizational effectiveness to optimize delivery outcomes. Manage core people‑leadership responsibilities, including HR matters, employee development, and team engagement. Ensure continuity of delivery through backup coverage, resource planning, and support during team absences. Oversee administrative responsibilities such as time tracking and compliance with enterprise processes. Continuously identify and drive improvements to increase team velocity, reduce friction, and accelerate platform delivery. Basic Qualifications Bachelor’s degree or equivalent work experience. 10 or more years of relevant software engineering experience. Six or more years of experience leading multiple software engineering teams. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. Minimum 5 years of experience managing engineering teams, including direct oversight of engineering managers and senior technical staff. 10+ years of experience in software engineering, platform engineering, or related disciplines. Proven experience designing and delivering large‑scale, distributed systems and cloud‑native platforms (Azure and/or AWS). Working knowledge of AI/ML and GenAI concepts, including familiarity with LLMs, RAG architectures, and AI application integration. Familiarity with MLOps practices, including CI/CD concepts for models, monitoring, and lifecycle considerations. Experience implementing enterprise‑grade security, compliance, and data governance frameworks. Demonstrated ability to influence and partner with senior technology and business leadership. Preferred Qualifications Experience supporting or partnering on AI/ML or GenAI platform initiatives. Familiarity with Responsible AI, model risk management, or regulatory considerations. Experience with API‑first platforms and event‑driven architectures. Background in financial services or other highly regulated industries. Experience leading geographically distributed and multi‑vendor engineering 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 (2‑5 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 hours, up to 80 hours per calendar year unless otherwise provided by law Equal Opportunity Employer U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability, or veteran status, and other factors protected under applicable law. E‑Verify U.S. Bank participates in the U.S. Department of Homeland Security E‑Verify program in all facilities located in the United States and certain U.S. territories. Location Requirements This role requires working from a U.S. Bank location three (3) or more days per week.
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  • Chicago, Illinois, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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