Computer Vision Engineer

********** No C2C or 3rd Party Candidates please*********** About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development. About the Role 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 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. Required Qualifications 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. Disclaimer: Kyyba is an Equal Opportunity Employer. Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non‑disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.” 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 View phone number on click.appcast.io Rewards: Voluntary life and disability insurance Optional Pre‑paid legal plan Optional Identity theft plan Optional Medical and dependent FSA Opportunity for advancement Long‑term assignment with opportunity for hire by client

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