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# AI Application Engineer

- **Company:** GENERAC POWER SYSTEMS INC
- **Location:** Waukesha, WI, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, Data Architecture, Information Engineering, Extract Transform Load (ETL), Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), Machine Learning, OpenCV, Tensorflow, SAP (Applications), Systems Integration, Unstructured Data, Visual Systems, Windchill, Pytorch, Yield Optimization, Scikit Learn, Information Technology, Machine Learning Operations, Industrial Software, Data Pipelines, Docker, Microservices
- **Published:** September 4, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3377283299&tx=KK5353FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in computer science, engineering, data science, or related field

Work Experience

 * Experience working with structured and unstructured data
 * Experience building and deploying AI based vision systems
 * 5 years in manufacturing / OT environments, PLC, SCADA, MES exposure
 * 2 years of experience in AI/ML development and deployment

Knowledge / Skills / Abilities

 * Python (TensorFlow, PyTorch, Scikit-learn)
 * Data engineering and ETL pipelines
 * Model deployment (APIs, microservices, Docker, etc.)
 * Understanding of industrial systems, manufacturing processes, or IoT data
 * Strong problem-solving and systems thinking mindset
 * Ability to bridge technical and business domains
 * Execution-focused with a bias toward deployment (not just modeling)
 * Ability to work across operations, engineering, and service functions
 * Ability to demonstrate clear communication with both technical teams and leadership, * Master's Degree

Work Experience

 * Experience in discrete manufacturing environments
 * Experience working in digital factory or Industry 4.0 initiatives
 * Familiarity with MES, PLM, and ERP integrations (SAP, Tulip, Windchill, etc.)

Knowledge / Skills / Abilities

 * Experience with Computer vision (OpenCV, vision models
 * Time-series analysis (sensor, telemetry data)
 * Edge AI deployment

## Description

* Design, build, test, and deploy machine learning and AI models, including productionizing solutions and maintaining model performance over time.

Manufacturing (Operations) Use Case Delivery

 * Develop and support AI solutions for shop floor applications such as predictive maintenance, quality inspection, yield optimization, and throughput improvement.

Data Engineering & Platform Integration

 * Develop data pipelines, integrate with enterprise systems, and ensure scalable, reusable AI and data architecture.

Cross-Functional Collaboration & Business Translation

 * Partner with Operations and IT teams to define use cases, translate business problems into AI solutions, and ensure adoption. Including build vs. buy analysis.

Continuous Improvement, Governance & Documentation

 * Monitor model performance, ensure data/model governance, document solutions, and drive reusability and standardization across sites/functions.


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