AI Application Engineer
Job Location:
Waukesha, WI - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
For more than 65 years weve turned big ideas into solutions that help protect homes strengthen businesses and build a more resilient efficient sustainable energy future.
Ready to Power a Smarter World with us
The AI Applications Engineer will design develop and deploy scalable AI/ML solutions that accelerate digital transformation across manufacturing operations. This role will focus on translating operational challenges into deployable AI solutionsintegrating operations platforms to enable smarter decision-making automation and predictive insights. This position plays a critical role in building the Digital Factory AI capability stack.
This position could include up to 25% travel locally.
Major Responsibilities:
AI Solution Development & Deployment
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.
Minimum Job Requirements:
Education
Bachelors 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
Preferred Job Requirements:
Education
Masters 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
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation national origin disability status protected veteran status or any other characteristic protected by law.
Required Experience:
IC
About Company
Since 1959, Generac Power Systems has been committed to building the most reliable, durable, efficient, and environmentally-friendly generators and power equipment.
