Edge AI Vision Engineer — Industrial MLOps Specialist

Easycomm Innovations; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Easycomm Innovations is hiring a software engineer to design a computer-vision system that monitors production and dispatch at a large edible oil, soap, and soya meal plant. You will develop edge AI models that process video feeds from industrial cameras installed at exit gates and loading docks.

You’ll build inference pipelines to count items, verify shipments against ERP orders, and trigger safety notifications when discrepancies occur.

Qualifications

• Experience with computer vision frameworks (TensorFlow, PyTorch, OpenCV).
• Hands-on MLOps experience: versioning, testing, deployment pipelines, monitoring.
• Experience optimizing models for edge devices / resource-constrained hardware.
• Ability to work with real-world, messy data in factory environments.

Responsibilities

• Develop edge AI models processing video feeds from industrial cameras at gates and loading docks.
• Build inference pipelines to count items and match shipments to ERP orders.
• Deploy and optimize models on edge servers with low latency.
• Design data pipelines from cameras to central verification service and dashboards.

Skills

TensorFlow

PyTorch

OpenCV

MLOps

Edge optimization

Messy data handling

Job description

Easycomm Innovations is hiring a software engineer to design a computer-vision system that monitors production and dispatch at a large edible oil, soap, and soya meal plant. You will develop edge AI models that process video feeds from industrial cameras installed at exit gates and loading docks.

You’ll build inference pipelines to count items, verify shipments against ERP orders, and trigger safety notifications when discrepancies occur.