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Generac Power Systems

Senior AI/ML Engineer

Posted 13 Days Ago
In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
Design, train, and deploy AI/ML models to improve generator systems performance by analyzing data from operations and maintenance. Collaborate with teams and mentor engineers.
The summary above was generated by AI

We are Generac, a leading energy technology company committed to powering a smarter world.

Over the 60 plus years of Generac’s history, we’ve been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries.

We are seeking a highly skilled and innovative AI/ML Engineer to lead the development of advanced analytics and machine learning models for generator systems. This role focuses on leveraging data from generator operations, maintenance, and performance to drive predictive insights, optimize reliability, and support product innovation.

MINIMUM QUALIFICATIONS:

  • Bachelor of Science Degree in Computer Science, Electrical Engineering, or related discipline

  • 5 years of relevant work experience

PREFERRED QUALIFICATIONS:

  • Master of Science Degree in Computer Science, Electrical Engineering, Systems Engineering or related discipline

ESSENTIAL DUTIES:

  • Design, train, and deploy AI/ML models to analyze and predict system performance and enhance control strategies in embedded and cloud systems

  • Utilize MATLAB, Simulink, and relevant toolboxes to develop, simulate, and validate AI algorithms and control system models for power generation applications

  • Collaborate with cross-functional teams to define AI use cases, data needs, and system integration approaches

  • Integrate AI capabilities into existing software systems, leveraging both edge computing and server-based solutions • Contribute to system architecture design and participate in technical design reviews • Support project timelines and technical milestones

Other Duties as assigned and the following:

  • Mentor less experienced engineers in AI/ML best practices, MATLAB/Simulink modeling, and development tools

  • Provide occasional engineering field support, including limited travel to customer sites

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Strong understanding of machine learning algorithms, model lifecycle, and deployment strategies

  • Proficient in MATLAB, Simulink, and toolboxes such as Deep Learning Toolbox, Control System Toolbox, and Statistics and Machine Learning Toolbox for algorithm development, simulation, and system modeling

  • Experience developing and deploying machine learning models using Python libraries (e.g., TensorFlow, PyTorch, scikit-learn)

  • Proficiency with MATLAB and Simulink for system modeling, simulation, and AI algorithm prototyping

  • Experience with MATLAB toolboxes including Deep Learning Toolbox, Control System Toolbox, and Statistics and Machine Learning Toolbox

  • Familiarity with data preprocessing, model evaluation, and performance tuning

  • Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying AI/ML solutions

Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk.  On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel.

“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.”

Top Skills

AI
AWS
Azure
GCP
Matlab
Ml
Python
PyTorch
Scikit-Learn
Simulink
TensorFlow

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