[Remote] Computer Vision Pipeline Engineer
Note: The job is a remote job and is open to candidates in USA. EAIGLE is an end-to-end AI platform transforming operations in the supply chain and logistics sectors through intelligent video and sensor data. The role involves building production computer vision systems that process real-world images and video at scale, owning the end-to-end vision pipeline from ingestion to delivery.
Responsibilities
• Design and build image/video CV pipelines (ingestion → preprocessing → inference → post-processing)
• 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
Skills
• 3+ years building production computer vision or ML systems
• Strong experience with Computer Vision (object detection, classification, tracking, OCR, etc.)
• Hands-on experience with OpenCV, PyTorch or TensorFlow
• Experience deploying models as services or pipelines
• Comfortable with Docker, APIs, and cloud environments
• Able to debug real-world CV failures (lighting, angles, false positives)
• Must be based in Ontario, Canada
• Must be legally eligible to work in Canada (no sponsorship required)
• Experience with video analytics or edge AI
• GPU inference optimization (TensorRT, CUDA, etc.)
• Background in logistics, robotics, surveillance, or industrial CV
• Experience working in startup or product-focused teams
Benefits
• A competitive compensation package, including base salary and stock options.
• The opportunity to work in a startup environment, where your contributions directly impact the company’s growth and success.
• A remote-first work environment with flexibility and autonomy.
Company Overview
• We help your enterprise leverage AI-powered vision data to address security, transportation, and operational challenges. It was founded in 2018, and is headquartered in Markham, Ontario, CAN, with a workforce of 11-50 employees. Its website is https://www.eaigle.com.
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