On-Site ML Vision Engineer - Real-Time Manufacturing (TX)

An early-stage team deploying AI vision systems directly on manufacturing lines. You are the engineer who prefers the hum of factory equipment to the silence of a cloud notebook, eager to bridge the gap between experimental models and rugged hardware. In this on-site Texas role, you will build and optimize computer vision pipelines that inspect products in real-time, turning raw camera feeds into immediate quality decisions. Your work moves beyond standard benchmarks to solve unique optical challenges where latency and precision directly impact production throughput. What we're looking for: 1 to 5 years of experience deploying computer vision models using PyTorch or TensorFlow Proficiency in Python and OpenCV for image processing and algorithm development Familiarity with cloud infrastructure on AWS or GCP for training and data management Interest or background in working with embedded systems or edge computing hardware Ability to collaborate closely with hardware engineers in an on-site manufacturing environment Must be based in the United States. Tech stack: Python, PyTorch, TensorFlow, AWS, GCP, OpenCV #J-18808-Ljbffr Fluency Digital, Inc.