Senior Industrial Vision Full Stack Developer - Fulltime
Location: Georgetown, KY (
We are seeking a Senior Industrial Vision Full Stack Developer to lead the design and deployment of automotive-grade computer vision systems used in manufacturing, quality inspection, and automation. This role focuses on AWS-based architectures, DevOps/MLOps, and production machine learning, delivering scalable and reliable vision solutions in high-throughput automotive environments.
Key Responsibilities
Architect and develop end-to-end industrial vision applications (UI, APIs, ML pipelines)
Design and deploy computer vision models for defect detection, inspection, and traceability
Lead AWS cloud architecture for image/video pipelines and ML workloads
Build and maintain CI/CD, DevOps, and MLOps pipelines for production systems
Optimize vision systems for real-time, high-volume automotive manufacturing lines
Integrate vision solutions with factory systems, PLCs, and MES platforms
Mentor engineers and drive best practices across software and ML development
Required Experience & Skills
7+ years in software engineering with senior-level ownership
Strong expertise in Python and cloud-native full stack development
Proven experience with computer vision & ML (OpenCV, PyTorch/TensorFlow)
Deep hands-on experience with AWS (EC2, S3, EKS/ECS, Lambda, SageMaker)
Solid background in Docker, Kubernetes, CI/CD, and Infrastructure as Code
Experience delivering production systems in automotive or manufacturing environments
Nice to Have
Experience with automotive quality inspection, defect detection, or traceability
Knowledge of industrial protocols (OPC UA, MQTT, Modbus)
Edge or hybrid cloud deployment experience
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