Regardless of industry, geographical location or organizational size, a successful modern business is data-driven. Digitization, automation, the Internet of Things, 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 every day 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.

This hiring kit, written by Mark W. Kaelin for TechRepublic Premium, provides a workable framework you can use to find the best candidate for your organization. The kit includes salary details, a job description, interview questions and a job advert.

Featured text from the hiring kit:

DETERMINING FACTORS, DESIRABLE PERSONALITY TRAITS AND SKILLSETS

In many ways, a computer vision engineer could be categorized as a software engineer with specialized training. The foundation of a candidate’s skillset will be software engineering, but their differentiating characteristics will be the ability to develop computer vision models, retrain them and create reliable quality datasets libraries. Since technology in this field is constantly innovating and adapting, candidates should be able to show a pattern of continuous learning and personal development.

Enhance your recruitment process with our in-depth 12-page document. Previously priced at $29, this is now available for download at just $9. Alternatively, enjoy complimentary access with a Premium annual subscription. Click here to find out more.

TIME SAVED: Crafting this content required 18 hours of dedicated writing, editing and research.