Manufacturing Innovation Advanced Technology
Listed on 2026-08-13
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
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Manufacturing Innovation Advanced TechnologyGeorgetown, KY, US
4 days ago Requisition
Salary Range: $60.00 To $62.00 Hourly
Manufacturing Innovation – Advanced Technology EngineerMachine Vision & Edge AI
1507474Position Overview
We are seeking an experienced Advanced Technology Engineer specializing in Machine Vision, Computer Vision, and Edge AI to develop and deploy next-generation inspection technologies within high-volume manufacturing environments.
This position will focus on developing production-ready machine learning and computer vision solutions for automated quality inspection. The ideal candidate will have hands‑on experience developing AI vision models, deploying them to edge hardware, and integrating vision systems with PLCs and industrial automation equipment.
This role will also lead advanced technology projects from initial concept and testing through production implementation.
Key ResponsibilitiesDevelop and deploy machine learning and computer vision models for defect detection, object detection, classification, and segmentation
.
Develop production‑grade AI solutions for automated manufacturing inspection systems.
Accelerate model development using synthetic data, active learning, data augmentation, and domain randomization
.
Optimize AI models for real‑time inference on edge and embedded hardware, including NVIDIA Jetson and Intel accelerators
.
Integrate machine vision systems with PLCs, encoders, triggers, cameras, sensors, and industrial automation equipment
.
Support industrial communication protocols including OPC‑UA, MQTT, and REST
.
Develop solutions using Python and C++ and machine learning frameworks such as PyTorch and Tensor Flow
.
Deploy and manage applications using Docker, Kubernetes, ONNX Runtime, and TensorRT
.
Establish model version control, monitoring, rollback, and retraining processes.
Monitor inspection accuracy, latency, model drift, false positives, and false negatives.
Lead data collection, image labeling, validation, and model‑quality activities.
Optimize vision systems for changing lighting, optics, surface conditions, and production speeds.
Support calibration and Measurement System Analysis (MSA) activities.
Troubleshoot vision and inspection failures and perform root‑cause analysis.
Lead advanced technology projects from concept through manufacturing launch.
Develop project schedules, scopes of work, milestones, punch lists, and status reports.
Evaluate new technologies through manufacturing trials and develop business cases for implementation.
Coordinate with manufacturing, engineering, automation, IT, vendors, and other technical teams.
Support technology deployments at manufacturing facilities throughout North America.
Required QualificationsBachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology
, or a related technical field.
5+ years of experience with industrial machine vision, computer vision, and/or Edge AI deployment.
Strong programming experience with Python and C++.
Experience with machine learning frameworks such as PyTorch or Tensor Flow
.
- Classification
- Semantic or instance segmentation
Experience integrating machine vision systems with PLC‑controlled manufacturing equipment
.
Knowledge of industrial communication technologies such as OPC‑UA and MQTT
.
Experience with industrial cameras, lighting, optics, and trigger‑based image acquisition.
Experience deploying AI/ML models to edge or embedded hardware.
Familiarity with NVIDIA Jetson, TensorRT, ONNX Runtime
, or similar technologies.
Experience with
Docker and containerized software deployment.
Familiarity with Kubernetes or similar orchestration technologies.
Experience managing the complete machine learning lifecycle, including data collection, labeling, validation, deployment, monitoring, and retraining.
Experience balancing inspection accuracy, false‑positive rates, and quality flow‑out risk.
Ability to manage technical projects involving internal teams, vendors, and contractors.
Ability to travel throughout…
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