Computer Vision Pipeline Engineer

EAIGLE is an end-to-end AI platform transforming operations in the supply chain and logistics sectors through intelligent video and sensor data. Our solutions are trusted by major logistics operators to optimize yard operations, automate vehicle access control, and enhance asset visibility, improving both security and operational efficiency at scale. By leveraging cutting‑edge computer vision and real‑time data processing, we enable enterprises to drive efficiency and resilience at scale. At EAIGLE, we’re on a mission to bring AI‑powered automation to the physical world, one yard at a time.

About the role

We’re building production computer vision systems that process real‑world images and video at scale. This role is for an engineer who has taken CV models out of notebooks and into reliable pipelines and not just trained them.

You’ll own the end‑to‑end vision pipeline , from ingestion to inference to delivery, working closely with platform and product teams.

What you’ll do

• Deploy and operate computer vision models in production
• Optimize pipelines for latency, throughput, and cost (GPU / CPU tradeoffs)
• Work with video streams (RTSP, files, cameras) and real‑world data quality issues
• Implement model versioning, monitoring, and feedback loops
• Collaborate with backend and platform engineers on APIs and infrastructure

What we’re looking for

Nice to have

Location & eligibility

Why this role

What we offer

Seniority level

Employment type

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