EAIGLE

www.eaigle.com

1 Job

28 Employees

About the Company

EAIGLE is an end-to-end AI platform that enables enterprises in the supply chain and logistics sectors leverage vision data to address security, transportation, and operational challenges. Our leading solutions include: •AVAC™: Our state-of-the-art automated vehicle access control at the gate. •YardSight™: An intuitive solution offering real-time monitoring of loading docks and truck parking availability in the yard. •ValidPallet™: A robust and comprehensive warehouse pallet tracking solution at the loading dock. Our innovative AI-powered solutions provide real-time curated alerts, operational insights, and automation, all aimed at helping enterprises identify potential breaches and inefficiencies and take corrective actions. Designed for seamless integration, each solution can be tailored, ensuring a perfect fit for every enterprise's unique requirements.

Listed Jobs

Company Name: EAIGLE
Job Title: Computer Vision Pipeline Engineer
Job Description: Job Title: Computer Vision Pipeline Engineer Role Summary: Design, build, and operate end‑to‑end computer vision pipelines that ingest real‑world video, run inference, and deliver results with high reliability, latency, and throughput. Expectations: Minimum 3 years of hands‑on experience developing production‑grade CV or ML systems. Proven ability to move models from research notebooks to robust, scalable pipelines and to troubleshoot failures in real‑world data. Key Responsibilities: - Design and implement image/video pipelines (ingestion → preprocessing → inference → post‑processing). - Deploy CV models as scalable services or batch pipelines in cloud or on‑prem environments. - Optimize pipelines for latency, throughput, and cost, balancing GPU/CPU resources. - Handle diverse video sources (RTSP, files, cameras) and address data quality issues (lighting, angle, occlusion). - Implement model versioning, monitoring, and feedback loops for continuous improvement. - Collaborate with backend and platform teams to expose APIs and integrate infrastructure. Required Skills: - Strong background in computer vision (object detection, classification, tracking, OCR, etc.). - Proficiency with OpenCV and a deep learning framework (PyTorch or TensorFlow). - Experience packaging and deploying models as services or pipelines (Docker, APIs). - Familiarity with cloud platforms and container orchestration. - Ability to debug production CV issues (lighting, false positives, pose variations). Required Education & Certifications: - Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent practical experience). ---