Finding and recruiting qualified candidates for an open Computer Vision Engineer position will take time and concerted effort backed by a solid plan of action. This hiring kit provides a workable framework you can use to find, recruit, and ultimately hire the best candidate for your organization.
From the hiring kit
INTRODUCTION
Regardless of industry, geographical location, or organizational size, modern business, at least successful modern business, is data driven. Digitization, automation, IoT, artificial intelligence, machine learning, and augmented reality all rely on collecting and processing huge amounts of data and applying the information gleaned from that activity to business strategies and everyday decisions.
Businesses looking for the right people to fill open positions often find themselves searching for scientists and engineers that can transform theoretical concepts into practical applications. The Computer Vision Engineer falls into this category.
Generally speaking, computer vision technology can be defined as an interdisciplinary field of science dealing with how computers can be programmed to achieve a higher-level of understanding from the processing of digital images or videos. From a practical engineering perspective, computer vision technology seeks to automate the tasks typically performed by the human visual system. The technology provides feasible applications for IoT, automation, and robotics, just to name a few.