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# Senior AI/ML Engineer **Hybrid

- **Company:** Cube hub
- **Location:** Glendale, WI, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $175,000.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Systems Engineering, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, Data Infrastructure, Monitoring of Systems, Python (Programming Language), Machine Learning, Scrum Methodology, Software Architecture, Software Tools, Tensorflow, Software Deployment, Software Engineering, Systems Integration, Software Organization, Google Cloud, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Scikit Learn, Information Technology, Process Control Systems, Enterprise Integration, Machine Learning Operations, Data Pipelines
- **Published:** September 17, 2026
- **Apply:** https://www.careerjet.com/jobad/us27d2dbb5952d6f62b4f755a53fa17504

## About the Role

* 7+ years of software engineering experience with strong modern software development practices and architecture.
 * 5+ years of hands-on Machine Learning experience, including developing and deploying ML solutions to production.
 * Strong Python programming skills with experience in AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
 * Generative AI / LLM experience Building and integrating LLM-powered applications, AI copilots, intelligent recommendations, or natural language interfaces.
 * Production AI deployment experience Designing scalable inference and deployment architectures across cloud, edge, or on-premises environments.
 * Cloud experience AWS, Azure, or Google Cloud Platform.
 * Strong software architecture and integration skills APIs, data pipelines, software development, and production deployment.
 * AI engineering leadership Establishing AI best practices, mentoring engineers, and using AI tools to improve software development, testing, code reviews, and CI/CD.

Preferred / Nice-to-Have Skills

 * Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering.
 * MLOps, model monitoring, AI evaluation, and AI governance.
 * Edge AI, IoT, or on-premises AI deployment.
 * Building Automation Systems (BAS), industrial controls, or smart building technologies.
 * Agile/Scrum experience.
 * Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field.

## Description

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