Design, train, and deploy AI/ML models to analyze and predict system performance and enhance control strategies in embedded and cloud systems
Leverage data from generator operations, maintenance, and performance to drive predictive insights, optimize reliability, and support product innovation
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 and MATLAB/Simulink modeling
Provide occasional engineering field support, including limited travel to customer sites
Requirements
Bachelor of Science Degree in Computer Science, Electrical Engineering, or related discipline
5 years of relevant work experience
Master of Science Degree in Computer Science, Electrical Engineering, Systems Engineering or related discipline (preferred)
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
Experience developing and deploying machine learning models using Python libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Familiarity with data preprocessing, model evaluation, and performance tuning
Experience with cloud platforms (e.g., AWS, Azure, GCP)
Ability to mentor less experienced engineers and participate in technical design reviews
Occasional travel for engineering field support
ATS Keywords
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