How to Hire Image Processing Specialist

Visual sources of information aren’t less informative than textual and in some cases more accurate. But capturing and representing data the required way initially not always possible with available devices. That’s why photos and other content need following adjustments.

7 min read, Aug 9

Digital image processing (DIP) comprises approaches and algorithms for regulating and transforming features of the initial content or using it as a resource for composing or generating another picture. The scope partly overlaps computer vision but it focuses more on looks than meanings.

Besides its implementation is much more accessible by an average user. Modern software allows improving quality, applying filters, de-/compressing, removing noises and so one no coding skills required. Nevertheless, some business scopes require more advanced techniques and ergo professionals to solve the available issue.

To such tasks are attributed image segmentation, pattern or element recognition, image restoration, morphology and wavelet processing, etc..Disregarding the task complexity IP processes are frequently a part of machine learning models serving various fields and purposes.

Another division in image processing refers to the number of the dimension in the content: 2D or 3D. It reflects on the number of values for collection and regulation and the complexity of the following analysis, statistical operations, and segmentation. 3D images also demand depth perception for correct evaluation.

Image processing applications: business and industry

Basically, every scope that deals with visual content from time to time uses image processing. However, in the following ones, it finds the widest application including in solutions that contributes to workflow automation and optimization as well as accuracy and relevancy of different process results.

Retail and eCommerce

Two of the most data-driven scopes require solutions to acquire, analyze and manage all its kinds. Excluding the small scope segment, the first step to purchase is a positive visual impression from a product whether it’s acquired “manually” or via digital images.

In such a competitive field a potential customer should have quick access to* exact or close enough* products one’s looking for, similar - for comparison and compatible - for extra needs. But describing with words an item precisely isn’t always feasible and more time-consuming.

The scope contributes to the further development of visual search engines that allows processing an image as a search query and present relevant results. For online retail, it will shift the marketing focus even more to visual content once it initially brings customers closer to checkout.

Another application address inventory challenges considering management and security. Image processing algorithms in combination with machine learning gives the ability to recognize and inform about the lack of defined products on shelves in stores and warehouses. It allows ensuring their faster replacement and fraud prevention.


The body inspectional methods that require image medical analysis still require accuracy improvement. It concerns both analog and digital image processing. Considering the high threat level of hard detecting diseases these field challenges are burning and require innovative approaches for resolution.

Current achievements already found application in cancer and retinopathy diagnostics. The precision of the results is enhanced through appropriate image segmentation. The technology usage is spreading also to other investigation and research procedures using MRI, CT, and microscopes.


Virtual and augmented reality find wider and wider application as a basis of the novelty advertising and marketing tools. Image processing algorithms are laying the background for computer vision analysis improving capturing and pattern recognition.

Mirrors for no-touch try-on, real-time imposition of notifications and pictures on the input, etc. represent the present and future possibilities for marketers to give a boost existing campaigns aiming to maintain required customer engagement.

Real Estate

Photography is one of the core elements of this business running making it dependent on the progress in the scope. Image processing significantly contributes to the process of extending digital cameras shooting and editing options.

Besides sharing with retail existing marketing solutions for search optimization CV and IP algorithms give the ability to reconstruct the living environment in 3D based on 2D photos which elements furthermore can be analyzed and measured.

Security and automation

From office access to national security, image processing algorithms allow enhancing security systems to ensure the safety of the guarded territory. Thanks to such solutions the whole monitoring process can be centralized and partly automated raising the level of awareness of the available hazards.

Technology is widely used for industrial and home automation allowing maintaining the environment and optimizing the usage of various resources. The same goes with everyday activities that now are easier to do with a smartphone - scanning QR codes, online payments, and overall device security are possible thanks to it.

Hire image processing: what to focus on

Once you have a picture of the possibilities of an average image processing engineer it’s time to define the requirements for the position. Otherwise, it's hard to find a candidate with an appropriate level of experience and independency for working on particular assignments.

The responsibility of these specialists usually cover implementing image processing algorithms, developing solutions using them with the following integration, image capturing and analysis, and visual data interpretation, etc. For quality performance, an applicant usually requires leastways some of the following hard and soft skills.

Technical expertise

As usual for AI-related scopes the list headings make Python and C++ followed up by Java, Matlab and C. As for frameworks the number one here can be considered OpenCV that provides required libraries for image processing and computer vision.

Considering the frequent use of machine learning for solution development the knowledge in this area is also required. The scope of DIP application also demands at least some experience and specifics understanding especially scientific areas like optics, imaging systems like medical, etc.

A candidate should have a relevant experience that fits the vacancy focus whether its computational photography or simple sensor calibration. Various mapping and tracking methods should be in the toolkit as well as certain familiarity with computer vision giving the close proximity of the scopes.

Theoretical basics

A candidate should have a degree in Computer Science, Engineering, Graphics or related fields of study. In-depth understanding of the foundation of DIP approaches and statistical methods should be available for application to the development of the novelty ones and solutions for existing challenges.


Self-motivation, creativity, and organization must be combined with strong communication skills to ensure an efficient collaboration within an IT team. Responsibilities like setting tasks, expressing ideas and reporting also require some time-management and presentation abilities from a candidate.

Image processing interview questions that should make to a survey for discovering the best candidate should be focused on testing the knowledge and practical expertise depth of a candidate, For the efficient questionnaire it’s better to involve a technical lead or someone else who can fairly evaluate the answers and ask additional questions.

Where to hire image processing developers

Modern business conditions and abilities to ensure efficient performance and collaboration during remote working doesn’t require focusing only on local talents or struggle with employee relocation issues. Such collaboration proved to be less expensive for a hiring party and more convenient considering working environment and schedule for a worker.

Specifics of the job responsibilities of image processing specialists don’t make the position just in-house. That’s why applying to top image processing companies focused on outsourcing and outstaffing to find candidates to choose from is a fitting strategy for resolving these staffing problems.

Unlike freelance developers applicants that gathered under one roof are initially more reliable since they already have come through a strict selection process to become a team member. The status of the best image processing company is a general aim of the field representatives so considering the competition they take seriously recruitment details.

One of the main concerns especially for the SME sector is budget. When the solution quality can’t fall under a certain level the team qualification should be appropriate which usually means high salary expectation from their members.But there’s an option - hire image processing developers in Ukraine.

The country's IT market is known worldwide and has a noticeable record of accomplished projects in various fields. The good reputation is based on professionalism and convenient and effective collaboration disregarding miles between a client and an executive. Springs experience working with such a business model is proving the relevancy of this staffing option for different kinds of projects.

Free consultation

Have questions? Leave your contact details and one of our experts will get back to you immediately.