About Us
Eagle Eye Networks is the world's leading cloud video surveillance platform. Powered by an ever evolving set of powerful AI and analytics, our open platform provides global security, instantaneous visibility and customizable insights directly to our customers on the Web, Desktop and Mobile. Eagle Eye’s flagship surveillance products on the cloud ingest powerful analytics and metadata from a variety of video analytics engines running on the edge and the cloud. One such engine is the Eagle Eye LPR, a high accuracy feature rich engine for License Plate Recognition.
Eagle Eye Engineering
Our full stack engineering teams take products from ideation through development and deployment. Businesses all over the world trust us to operate in real time as our solutions gather, process, view and add insight to petabytes of real time video all hosted in our own secure data centers. No matter if you wish to develop lightweight microservices, ground breaking AI or delightful web or mobile user experiences, we have a challenge for you.
Summary
As a Computer Vision engineer, you will be part of the team that develops new functionality and enhances existing functionality using State of the Art Computer Vision and Machine Learning Algorithms. You will work closely with a motivated team to take concepts from ideation to deployment.
Experience & Requirements
- 3+ Years experience
- Excellent programming skills in C++, Python
- Excellent understanding of computer vision concepts, including knowledge of using OpenCV.
- Exposure to Data structures / Algorithms
- Strong knowledge of software design principles, patterns, and S/W Engg practices
- Ability to design and document code, write unit tests
- Familiarity with GPU computing (CUDA)
- Hands-on experience in software development on Linux platforms
- Experience in FP16/Mixed Precision and INT8 Optimised Inference on Intel/Nvidia Hardware
- Exposure to deep learning algorithms for Image Classification, Object Detection, Semantic Segmentation and OCR would be a big plus
- Familiarity with anyone of the deep learning frameworks - Pytorch, TensorFlow etc would be a big plus
- Experience with Docker and messaging systems would be big plus
- Strong Problem Solving & Communication skills
- Highly Motivated, Creative and a Team player