Senior Industrial Vision Edge Developer

Role: Senior Industrial Vision Edge Developer Location: Georgetown, KY (Strongly prefer someone local (or reasonable driving distance to Georgetown, KY). Will consider remote for a strong candidate, but must travel 2+ times a month. Reimbursement for travel as required.) Term: Contract Skill Requirements: Manufacturing, Automotive Custom Skill Requirements 1. ML/CV Modelling 1. DevOps/MLOps 1. Edge ML/CV Performance Optimization 1. System Integration Description Of Services: We are seeking a Senior Industrial Vision Edge Developer to lead the design, deployment, and optimization of real-time computer vision systems at the edge for automotive manufacturing and quality inspection. This role focuses on edge ML, embedded vision, and hybrid AWS architectures, delivering low-latency, highly reliable solutions in high-throughput production environments. • Architect and develop edge-based computer vision systems for automotive inspection and automation • Design, train, and deploy real-time ML/CV models optimized for edge hardware • Optimize inference performance (latency, throughput, memory, power) on industrial edge devices • Build hybrid edge–cloud architectures using AWS for model lifecycle management and monitoring • Implement DevOps/MLOps pipelines for edge deployment, updates, and rollback • Integrate vision systems with PLCs, MES, and factory networks • Lead technical decisions and mentor engineers on edge and vision best practices Required Skills: • 7+ years of software engineering experience, including edge or embedded systems • Strong proficiency in Python and/or C++ for performance-critical vision workloads • Proven experience with computer vision and ML (OpenCV, PyTorch, TensorFlow, ONNX) • Hands-on experience with edge deployment (Docker, NVIDIA Jetson, Intel, or similar platforms) • Experience with AWS hybrid/edge services and cloud integration • Strong background in CI/CD, DevOps, and production system reliability • Experience delivering systems in automotive or industrial manufacturing environments