> Markdown version of [/jobs/ext/1971856-machine-vision-edge-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1971856-machine-vision-edge-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Vision & Edge AI Engineer - **Company:** KYYBA, Inc - **Location:** Georgetown, KY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Communications Protocols, Computer Programming, Python (Programming Language), Message Queuing Telemetry Transport (MQTT), Object Detection, Tensorflow, OPC Unified Architecture, Visual Systems, Pytorch, Kubernetes, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT, Restful APIs, Docker, Data Generation - **Published:** August 7, 2026 - **Apply:** https://www.dice.com/job-detail/aa41703d-dd3d-4e75-ba50-41697c48d94e ## About the Role · Bachelor''s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field. · 5+ years of experience in Machine Vision and Edge AI. · Strong programming skills in Python and C++. · Experience with PyTorch and/or TensorFlow. · Hands-on experience with Docker, Kubernetes, TensorRT, and ONNX Runtime. · Experience integrating machine vision systems with PLCs and industrial communication protocols (OPC-UA, MQTT). · Experience with object detection, image classification, and segmentation models. · Knowledge of industrial cameras, lighting, optics, and real-time vision inspection. Preferred Qualifications · Master''s degree in Engineering or a related field. · Experience in automotive or industrial manufacturing. · Knowledge of robotics, IIoT, and industrial automation. · Experience with synthetic data generation (GANs, Blender, NeRFs). · Project management experience leading technology deployments. ## Description We''re seeking a Machine Vision & Edge AI Engineer to develop and deploy AI-powered vision inspection systems for high-volume manufacturing. You''ll build production-grade computer vision solutions, optimize models for edge devices, and integrate AI with industrial automation systems to improve product quality and manufacturing efficiency. Responsibilities · Develop computer vision models for defect detection, classification, and segmentation. · Train and optimize models using synthetic data, active learning, and data augmentation. · Deploy AI applications using Docker and Kubernetes. · Optimize inference on NVIDIA Jetson, Intel edge devices, and embedded platforms using TensorRT and ONNX Runtime. · Integrate vision systems with PLCs, industrial cameras, and protocols such as OPC-UA, MQTT, and REST APIs. · Manage the full ML lifecycle including data collection, labeling, validation, deployment, monitoring, and retraining. · Partner with manufacturing, automation, IT, and engineering teams to deliver scalable AI solutions., · It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at ## Related Videos - [From Perception to Autonomy: Building Agentic Edge AI Robots with ROS 2](https://www.wearedevelopers.com/videos/100295-from-perception-to-autonomy-building-agentic-edge-ai-robots-with-ros-2) - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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