A Computer Vision Engineer develops and implements algorithms related to computer vision and perception for autonomous vehicle, robotics and fields where computers interact with human in the physical world.
Asheville, NC Job Details Full-time $40 - $43 an hour 7 hours ago Benefits Health savings account Health insurance Dental insurance Paid time off 401(k) matching Qualifications AI models GPU programming Containerization systems TensorFlow Image processing Machine vision systems Continuous deployment PyTorch Calibration Software deployment Classification (ML) AI platforms (beyond public GPTs) Computational framework JavaScript frameworks Optics Production systems Machine learning cloud services Machine intelligence Outlier detection Model deployment Object detection Azure Machine Learning OCR Vision inspection system OpenCV System deployment Front-end component implementation DevOps automation Machine learning libraries Flask Full Job Description We are looking for an experienced Computer Vision Engineer to design, develop, and deploy production-grade vision solutions for industrial assembly and quality inspection applications. The candidate should have strong expertise in image processing, deep learning, edge AI deployment, and MLOps. Experience with industrial cameras, lighting systems, and real-world manufacturing environments is essential. Key Responsibilities Design robust computer vision solutions for assembly and defect inspection. Develop image processing and computer vision algorithms for detection, segmentation, OCR, and anomaly detection. Build, train, optimize, and deploy deep learning models for industrial applications. Design camera, lens, and lighting setups for inspection systems. Deploy AI models on edge devices and GPUs using optimization frameworks. Implement MLOps pipelines for model training, monitoring, and lifecycle management. Develop REST APIs and microservices to expose computer vision capabilities. Collaborate with manufacturing, automation, and software engineering teams. Required Skills Must have completed Azure certification - to get access to their Azure environment.
