Wells Fargo

Lead Software Engineer – Automation, AI and Machine Learning

Wells Fargo

full-time

Posted on:

Location Type: Hybrid

Location: CharlotteNorth CarolinaTexasUnited States

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Job Level

About the role

  • Lead complex technology initiatives including those that are companywide with broad impact
  • Design, code, test, debug, and document for projects and programs
  • Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives
  • Make decisions in developing standard and companywide best practices for engineering and technology solutions
  • Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues
  • Define architecture for machine learning pipelines, model deployment, and data integration

Requirements

  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 3+ years of experience developing customer-facing, production-grade machine learning solutions
  • 3+ years of experience with Python and ML Frameworks
  • Experience tuning, validating, optimizing, visualizing, and debugging models
  • 3+ years of large data systems and cloud computing
  • Experience with cloud platforms (e.g., AWS, Azure, GCP).
  • Experience with containerization and orchestration (e.g. Docker, Kubernetes, Openshift).
  • Strong knowledge of RESTful API design.
  • Good understanding and hands on experience on UI development framework (React / Angular)
Benefits
  • Competitive salary
  • Flexible work arrangements
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Software Engineeringmachine learning solutionsPythonML Frameworksmodel tuningmodel validationmodel optimizationmodel visualizationRESTful API designUI development framework
Soft Skills
leadershipcollaborationconsultationproblem-solvingdecision-making