6 software deployment engineer jobs at 5 companies in Maple Bluff, WI
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Software Engineer
United States or Austin or Boston or Chattanooga or Chicago or Dallas or Denver or Houston or Jefferson City or Kansas City or Madison or Milwaukee or Minneapolis or Nashville or Omaha or Providence or Springfield or Saint Louis or Washington
$76k-$234k/yrHybridFull Time
Husch Blackwell: A nationwide firm providing industry-focused legal and litigation services.
5+ YOEBachelor's or equivalent,5+ years application engineering experience,full‑stack proficiency with backend focus,experience with generative AI and cloud deployment (Azure preferred),strong architecture and communication skills.
URUS: Provides cattle genetics and reproductive services for dairy producers.
10+ YOEBachelor's preferred; 10+ years software development; 3+ years AI/ML and LLM experience preferred; experience with RAG, vector databases, agent frameworks, prompt engineering, deployment and observability; React/TypeScript and cloud familiarity.
2+ YOERequires 2+ years in AI, ML, or software engineering; Python, AWS, agentic LLM systems, evaluation, production deployment, RAG, CI/CD, and Terraform experience; bachelor's or master's degree preferred; U.S. citizenship and ability to obtain 6C clearance.
Paradigm: A software transforming residential and construction industry operations globally.
5+ YOEBachelor's or Master's in CS/ML,5+ years designing and deploying applied ML at scale,experience in CV and NLP,proficiency with Python and ML frameworks,MLops and cloud deployment experience.
AbbottNYSE: ABT: Manufactures medical devices, diagnostics, and nutritional health products.
3+ YOE3+ years project leadership experience; expertise in ML, NLP, LLMs, Gen AI; experience with Python and cloud ML deployment; knowledge of ethical AI, data privacy, and regulatory compliance.
Paradigm: Software transforming the residential construction and building product industries.
12+ YOE5+ Mgmt12+ years in applied AI, ML, or software engineering; 5+ years in leadership; degree in CS/ML or related; proven production AI deployment; expertise in LLMs, CV, RAG; strong software & cloud skills.