Manufacturing AI & Vision Engineer — Edge & On-Site

Energy Jobline ZR; Georgetown (DE); On-site; USD 69,000 - 76,000; Full time

Benefits offered by this job

PTO

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Benefits begin Day 1

Job summary

Energy Jobline ZR is seeking a Manufacturing Innovation Advanced Technology Engineer for an on‑site, long‑term contract in Georgetown, Kentucky. The role centers on developing production‑grade AI and computer vision solutions for high‑volume manufacturing, with emphasis on edge deployment and system integration across plants.

The ideal candidate will bring 5+ years in industrial machine vision, strong Python and C++, and hands‑on experience with Docker, Kubernetes, ONNX Runtime, and TensorRT.

Qualifications

• Experience in industrial machine vision and edge AI deployment.
• Proficiency in Python and C++.
• Hands-on with Docker and Kubernetes.
• Experience with ML frameworks PyTorch and TensorFlow.

Responsibilities

• Design and implement computer vision models for defect detection, segmentation and classification.
• Accelerate training with synthetic data, active learning and domain randomization.
• Deploy production-grade ML models across manufacturing lines; manage lifecycle.
• Optimize inference for edge hardware using ONNX Runtime and TensorRT.
• Collaborate with automation, IT and manufacturing teams for robust integration.

Skills

Python

C++

Machine Learning

Industrial Vision

Docker

Kubernetes

ONNX Runtime

TensorRT

PyTorch

TensorFlow

Edge AI Deployment

Education

Bachelor's degree in Electrical Engineering

Bachelor's degree in Mechanical Engineering

Bachelor's degree in Computer Science

Bachelor's degree in Information Technology

Tools

Docker

Kubernetes

ONNX Runtime

TensorRT

Job description

Energy Jobline ZR is seeking a Manufacturing Innovation Advanced Technology Engineer for an on‑site, long‑term contract in Georgetown, Kentucky. The role centers on developing production‑grade AI and computer vision solutions for high‑volume manufacturing, with emphasis on edge deployment and system integration across plants.

The ideal candidate will bring 5+ years in industrial machine vision, strong Python and C++, and hands‑on experience with Docker, Kubernetes, ONNX Runtime, and TensorRT.