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Computer Vision Engineer at Einsite

Looking for an exceptional computer vision engineer to help build a world-leading AI system to bring the mining and construction industries to the digital age.



Einsite makes mining and construction sites more productive using AI and analytics. Our system of sensors, cameras and computer vision algorithms provide real-time insights to managers and machine operators. Ultimately, our richly-structured dataset will enable intelligent recommendations, and power autonomy for construction vehicles.



Einsites founder, Anirudh Reddy, studied Civil Engineering at Stanford. He assembled Einsite's engineering team to build an integrated site management system that is currently tracking highway projects worth $1B at his family's construction business, Gayatri Projects, which is India's 5th largest construction company.



Requirements



Required:

1. Strong Knowledge in Video Analytics/CV and ML

2. Hands on experience on Image Processing/CV

3. Design and Implementation of efficient computer vision algorithms for recognizing objects and motion patterns.

4. Understanding product requirements and derive logical data models

5. Porting algorithms to linux based SBC (Single Board Computers)

6. Highly motivated, self-driven, capable of defining own design and test scenarios



Strongly Prefered:

1. Expertise in Python3, C++ and OpenCV lib

2. Strong understanding of OOPS concepts

3. Hands on experience in Cloud Services



Benefits



Exposure to cutting-edge tech stack

Coaching and learning from managers and colleagues

Freedom to explore and expand skillset

Flexible Working Hours

Casual Dress-code

Relocation assistance

Employee Referral Bonus

Health Insurance

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by Tsutomu Narushima