Generac

Senior AI/ML Engineer

Generac

full-time

Posted on:

Location Type: Office

Location: Waukesha • Colorado, Wisconsin • 🇺🇸 United States

Visit company website
AI Apply
Apply

Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow

About the role

  • 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

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI/ML modelsmachine learning algorithmsmodel lifecycledeployment strategiesdata preprocessingmodel evaluationperformance tuningMATLABSimulinkPython
Soft skills
mentoringcollaborationtechnical design reviewssupporting project timelinescommunication
Certifications
Bachelor of Science DegreeMaster of Science Degree
PayPal

Staff Machine Learning Engineer

PayPal
Leadfull-time🇮🇳 India
Posted: 29 days agoSource: paypal.wd1.myworkdayjobs.com
AWSAzureCloudGoogle Cloud PlatformPyTorchScikit-LearnTensorflow
Vanguard

Offensive Security Analyst, AI Specialist

Vanguard
Mid · Seniorfull-timePennsylvania · 🇺🇸 United States
Posted: 31 days agoSource: vanguard.wd5.myworkdayjobs.com
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow
Wizard AI

Senior MLOps Engineer

Wizard AI
Seniorfull-time$185k–$210k / year🇺🇸 United States
Posted: 10 days agoSource: boards.greenhouse.io
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow
Silent Eight

Python Developer

Silent Eight
Mid · Seniorfull-time🇮🇳 India
Posted: 22 days agoSource: silenteight.teamtailor.com
AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
OneSix

Senior Machine Learning Consultant

OneSix
Seniorfull-time🇺🇸 United States
Posted: 3 days agoSource: boards.greenhouse.io
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-Learn