Field Applications Engineer (FAE) – Manufacturing (Machine Vision & AI/ML)
Core
Deploying and optimizing machine vision and AI/ML solutions in real-world manufacturing environments to solve inspection, automation, and process challenges.
Role type
Field Applications Engineer (FAE) – Manufacturing (Machine Vision & AI/ML)
Builds
Production-ready vision systems involving cameras, optics, lighting, edge devices, and intelligent inspection models.
Domain
Manufacturing, Industrial Automation, Computer Vision, AI/ML
Deliverable
production ML models
Required skills
Machine vision system deployment, Industrial automation integration, AI/ML model deployment, Image dataset management, PLC integration, Industrial network protocols, Edge computing, Hardware troubleshooting, System optimization, Customer enablement
Preferred skills
Deep-learning frameworks, AI/ML production deployment, Allen-Bradley/Siemens PLCs, Industrial communication networks, Data annotation tools, GPU-based inference, Lean Manufacturing/Six Sigma (via careerplan.io/jobs/ad4d2e0b-a0d5-4da6-b0d4-0e76b9e5cee5-field-applications-engineer-fae-manufacturing-machine-vision-aiml-at-jobgether)
Technologies
OpenCV, PLCs, HMIs, Robotics, MES, SCADA, Ethernet/IP, PROFINET, Modbus, Edge devices, Industrial cameras, Lenses, Lighting systems
Responsibilities
Troubleshoot customer challenges and support deployments, Deploy and configure vision systems in production environments, Diagnose and resolve electrical, mechanical, and software issues, Design and optimize machine vision solutions for inspection and defect detection, Deploy and validate AI/ML models for classification and object detection, Integrate solutions with industrial automation systems, Train operators and engineers on system operation, Develop documentation and troubleshooting guides
Seniority
Mid-Senior, hands-on IC
