Computer Vision Engineer

ABOUT AWIROS:

Incorporated in 2015, Awiros is making it possible for everyone to build as well as utilise the most advanced applications of Computer Vision and AI in their everyday lives using its app-oriented open and unified Operating System model. With a stellar team of researchers and engineers, our constant endeavour is to push the boundaries of technology while delivering great value to our customers. Awiros is a complex technology platform with a highly dynamic development, deployment, and troubleshooting approach.

The core engineering of Awiros includes real-time deep-learning-based video/image inference, distributed processing, high-throughput data handling, and state-of-the-art tools/frameworks like Deep Learning, Computer Vision, TensorFlow, Kubernetes, Kafka, and Elastic Search. Our mission is to bring the power of Computer Vision to everyone, right from developers to end users. Awiros is the conduit to bring the most cutting-edge research in the areas of Computer Vision, Deep Learning, and Artificial Intelligence to the market.

ABOUT THE ROLE:

We are looking for a Computer Vision Engineer to assist us in building advanced level Computer Vision solutions using cutting edge devices. You will become an integral part of the team, making every problem of the platform a problem of your own, and solving them accordingly.

RESPONSIBILITIES:

Research, analyze, and define business solutions including detailed project specifications and design solutions for business problems

Document test cases, expected results, test data requirements, and collaborate with testing teams/business partners to resolve testing problems

Provide impact analysis for changes to programs and systems

Assist in the definition of team processes and strategies and serve as technical resource on the team

Working on understanding and improving key vision libraries

Helping to develop state of the art vision algorithms

Helping to take algorithms developed by other teams and develop them into products

Research on state-of-the-art recognition techniques

Data collection and database organization

Algorithm implementation and system integration within existing frameworks and system

EDUCATION AND OTHER REQUIREMENTS:

2+ years of hands-on Computer Vision development and expertise in Deep Learning/Machine Learning techniques.

Hands on Experience with acceleration frameworks like NvidiaTensorRT, DeepStream or Intel OpenVINO is expected

Product oriented approach

Experience with Docker & Kubernetes is a plus.

Excellent Programming Skills in C++ and/or Python

Ready to review code, design the core tech components

Can potentially lead to a technical architect position