Computer Vision Engineer

Job highlights

• Hands on Experience with acceleration frameworks like NvidiaTensorRT,DeepStream or Intel OpenVINO is expected .
• Experience with Docker and Kubernetes is a plus

ABOUT AWIROS:

Incorporated in 2015, Awiros is making it possible for everyone to build as well as utilize 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 endeavor 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 the 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.

OVERVIEW:

As a Computer Vision Engineer, you will 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

QUALIFICATION AND REQUIRED SKILLS:

• 4+ 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 and Kubernetes is a plus.
• Excellent Programming Skills in C++ (Ideal) and/or Python
• Ready to review code and design the core tech components
• Can potentially lead to a technical architect position