✦ Luna Orbit — AI & Machine Learning

Sr. Automation and Robotics Engineer

at Tyson Foods

📍 Corporate Meadow - Springdale, Arkansas Unknown Posted March 13, 2026
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Bachelors' degree in Industrial, Mechanical, or Electrical Engineering, or a related field
Category AI & Machine Learning

This role focuses on developing and deploying AI and robotics solutions to improve manufacturing processes, safety, and efficiency.

  • Develop AI/ML models
  • Implement robotics solutions
  • Analyze production data
  • Collaborate with vendors
  • Optimize manufacturing processes

The technical scope includes AI, IoT, robotics, PLCs, and data analysis tools like Power BI and GCP, with a focus on automation, predictive maintenance, and quality inspection.

The ideal candidate is a mid-level engineer with 3+ years experience in AI and robotics applications within manufacturing, proficient in Python, SQL, and data analysis, with hands-on experience in IoT, machine learning, and automation technologies.

Machine LearningArtificial IntelligencePythonSQLData analysisProcess optimization
IoTRoboticsPredictive maintenanceObject detectionSegmentation
Power BIGoogle Cloud PlatformAutodeskFANUC
Machine LearningArtificial IntelligenceIoTRoboticsPLCFANUCPythonSQLData analysisProcess optimizationPredictive maintenanceObject detectionSegmentation
Machine LearningArtificial IntelligenceIoTRoboticsPLCFANUCPythonSQLAutodeskPower BIGCPData analysisProcess optimizationPredictive maintenanceObject detectionSegmentation
Problem-solvingCollaborationCommunicationAnalytical thinkingTeamwork
Industry Manufacturing
Job Function Design and implement AI and robotics solutions for manufacturing automation
Machine LearningArtificial IntelligenceIoTRoboticsPLCFANUCPythonSQLData analysisProcess optimizationPredictive maintenanceObject detectionSegmentation

Lack of experience with robotics or AI applications, Less than 3 years of relevant experience, No experience with Python or SQL, Inability to work in a non-remote environment

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