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

Fluency Digital, Inc.; Texas; On-site; USD 110,000 - 160,000; Full time

Job summary

Fluency Digital, Inc. is seeking an on-site Computer Vision Engineer to deploy real-time inspection systems on manufacturing lines. You'll bridge research and rugged hardware, turning CV models into fast, reliable edge inferences that keep production moving.

You'll work with PyTorch or TensorFlow, Python, OpenCV, and cloud training on AWS/GCP, while collaborating closely with hardware engineers to optimize latency, accuracy, and robustness in harsh factory environments.

Qualifications

• 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.

Responsibilities

• Build and optimize computer vision pipelines that inspect products in real-time on manufacturing lines.
• Collaborate with hardware engineers to integrate CV models into edge devices.
• Tune latency and accuracy to maximize production throughput in harsh factory environments.

Skills

PyTorch

TensorFlow

Python

OpenCV

Edge computing

On-site collaboration

Tools

AWS

GCP

Job description

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