Senior AI/ML Engineer

Generac Power SystemsWaukesha, WI
88d

About The Position

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.

Requirements

  • Bachelor of Science Degree in Computer Science, Electrical Engineering, or related discipline.
  • 5 years of relevant work experience.
  • 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.
  • Familiarity with data preprocessing, model evaluation, and performance tuning.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying AI/ML solutions.

Nice To Haves

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

Responsibilities

  • 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.
  • 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.
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