Industrial AI Solutions Engineer

generac; Waukesha (WI); On-site; USD 110,000 - 170,000; Full time

Job summary

Generac seeks an AI Applications Engineer to design, develop, and deploy scalable AI/ML solutions for manufacturing operations, translating challenges into deployable AI capabilities and integrating operations platforms for smarter decision-making.

The role emphasizes productionizing models, data pipelines, cross-functional collaboration with Operations and IT, and governance to standardize AI across sites and functions. Travel up to 25% locally.

Qualifications

• Bachelor’s degree in computer science, engineering, data science, or related field.
• 5 years in manufacturing / OT environments, PLC, SCADA, MES exposure.
• 2 years of experience in AI/ML development and deployment.
• Experience with structured and unstructured data.
• Experience building and deploying AI based vision systems.

Responsibilities

• Design, build, test, and deploy machine learning and AI models, including productionizing solutions and maintaining model performance over time.
• Develop and support AI solutions for shop floor applications such as predictive maintenance, quality inspection, yield optimization, and throughput improvement.
• Develop data pipelines, integrate with enterprise systems, and ensure scalable, reusable AI and data architecture.
• Partner with Operations and IT teams to define use cases, translate business problems into AI solutions, and ensure adoption.
• Monitor model performance, ensure data/model governance, document solutions, and drive reusability and standardization across sites/functions.

Skills

Python

ETL pipelines

Model deployment

Industrial IoT

Systems thinking

Cross-functional collaboration

Communication

Computer vision

Time-series analysis

Edge AI

Education

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

Master’s Degree

Job description

Generac seeks an AI Applications Engineer to design, develop, and deploy scalable AI/ML solutions for manufacturing operations, translating challenges into deployable AI capabilities and integrating operations platforms for smarter decision-making.

The role emphasizes productionizing models, data pipelines, cross-functional collaboration with Operations and IT, and governance to standardize AI across sites and functions. Travel up to 25% locally.