Are you vacillating between finding AI specialists in-house or overseas? Tap into the talent pool of AI software developers in Ukraine and other countries of Eastern Europe. Here is the why and how of building a successful software development team for your next AI-powered project in Ukraine.
Acute shortage of AI software developers in the UK and the US
In 2019, 10.9 billion U.S dollars will be spent on intelligent process automation and AI business operations combined. The number is projected to grow exponentially in the forthcoming years, and AI is predicted to create 2.3 million jobs by 2020, according to the Gartner report.
It comes natural that over the past three years alone the number of AI-related job postings on Indeed has increased by 119%, according to the platform’s latest AI talent report.
As the appetite for AI-powered solutions increases, there is a severe talent war staged for Machine Learning and AI software developers, and both top tech powerhouses and upstarts go to great lengths to poach the in-demand specialists. For example, US companies are raising over $1 billion to recruit AI software developers by 2020.
And they are all doing it for a good reason. They all want to reap the harvest in the long run. For instance, BNY Mellon integrated process automation and machine learning into their banking ecosystem. And thanks to that, the bank managed to get $300,000 in annual savings.
Therefore, it comes as no surprise that companies set up AI hubs, research and development centres and snap up the best AI, Machine Learning, and Data Science specialists all across the globe, including such IT hubs as Ukraine, Poland, Belarus, and other countries of Eastern Europe.
Why you should look for AI software developers in Ukraine
Strong AI educational background
Ukraine has a strong STEM-based educational background. There are universities in Ukraine that offer Master’s programs in Computer Science with specialization in Data Science. The Master’s Program in Computer Science/Data Science enables aspiring specialists to acquire skills in programming, data analytics, machine learning, artificial intelligence, big data system architecture, product development and provides leadership and self-development courses for its students.
Wide choice of trusted Big Data and AI software development companies
Ukraine is home to 1,000+ software development providers and 160,000+ software engineers.
Ukraine and other countries of Eastern Europe are home to a wide variety of reliable AI software development companies. According to Clutch, there are 29 machine learning companies in Ukraine and 51 Big Data analytics companies, including such companies as N-iX, CoreValue, DataRoot Lab, SoftServe, and more. The Clutch data indicates that such countries as Ukraine and Poland take the lead by the number of Artificial Intelligence providers even compared to the Western European countries.
Source: AI in Eastern Europe
There are many companies which outsource their machine learning and artificial intelligence development to software development vendors in Eastern Europe and benefited from such cooperation. N-iX, besides AI and Machine Learning expertise, has a considerable track record of projects that use Data Science, Big Data, Business Intelligence, fraud detection, intelligent cybersecurity, and more.
Booming talent pool of AI software developers and Big Data engineers
According to Linkedin, the number of Big Data Developers in Ukraine amounts to over 1,400 big data and Hadoop developers and the number of Machine Learning Engineers is 4,000 specialists. The country has a rich pool of software engineers that specialize in such technologies as Scala and Python that are widely used for Data Science and Machine Learning, as well as Apache Hadoop framework that is used for Big Data engineering.
Python developers in Ukraine
95% of all Data Scientists and Machine Learning engineers globally are using R and Python. Other languages they use are C and Scala.
According to recent studies, Python is a globally preferred language for Data Science, and its market share in 2018 amounted to staggering 65,6%. What’s more, 48% of data scientists with five or fewer years experience rated Python their favourite programming language. While R is good for making prototypes fast, data analysis and creating state-of-the-art algorithms, Python has many libraries for Machine Learning, it is good for prototyping, making analysis, putting into production, better for performance than R.
Ukrainian Data Scientists follow the global trend. Python is among the five most widely used coding languages in Ukraine, and now the market share of Python is on the rise as it is a prevailing technology among Ukrainian Data Scientists.
Thriving community of AI software developers
Ukraine has a vibrant community of AI gurus and enthusiasts. The country hosts a large number of Big Data/AI/ Machine Learning events including international conferences such as AI Ukraine Conference, AI & Big Data Day, JEEConf, etc.
Local communities also organize regular meetups and workshops for big data and analytics experts, such as Bottleneck Night AI/ML, DS Success Meetup, just to name a few.
Comprehensive expertise of Ukrainian AI software developers
Ukrainian AI software developers engineers have sufficient experience as many AI-powered startups were born in Ukraine or created in collaboration with Ukrainian software engineers. These cutting-edge solutions include Cargofy, Discoperi, Datarobot, Grammarly.
Cargofy is an AI-enabled solution for cargo delivery optimizations. It works according to an Uber-like business model and connects truck drivers with customers that need cargo delivery.
Mercanto is a London-based company that has cooperated with N-iX, a leading software development company in Ukraine, to develop a ML- enabled email marketing platform. Mercanto needed a Dedicated Development Team with expertise in Big Data, Data Science, and Machine Learning to create a platform for delivering highly personalized e-mail content, based on collecting, aggregating, and processing a huge amount of data on the buyers and product feed, and matching the results. N-iX team have developed a sophisticated NLP module and machine learning algorithms powering Mercanto platform.
Grammarly is the US-Ukrainian startup that has Natural Language Processing technology at its core. It is one of the global leaders on the market as a writing-enhancement tool.
Petcube, a highly crowdfunded Ukrainian startup, leverages machine learning models for its pet detection technology.
Discopery is an innovative startup that develops a smart solution to prevent car accidents and save lives. The solution is powered by ML algorithms.
DataRobot is a machine learning platform that helps enterprises build predictive models at speed, raised $54 million in a Series C funding round led by New Enterprise Associates (NEA). The company has an R&D office in Kyiv (Kiev), with up to 200 employees working there, according to DOU.UA, an authoritative local IT industry resource.
Source: AI in Eastern Europe
How to choose AI software developers in Ukraine
When looking for AI software developers, it is critical to choose the one that can help you turn your idea into real KPIs. They will tell you if it’s viable and offer flexible expertise as needs towards Machine Learning and AI differ drastically across different businesses.
For example, some companies will do with mere collection of data and lucid visualization (such as retail stores that need to see that some goods don’t sell in certain stores or banks that need to have all the data collected from CRMs), and thus will need Big Data engineers.
Some businesses will need to apply the ready algorithms and models developed by Google, IBM, and others (for instance, e-commerce stores that need plug-and-play recommendation systems). In this case, you will require a machine learning engineer who can implement the system focusing on your specific data and business domain. The specialist needs to extract the data from different sources, transform it to make it suitable for this particular system, receive the results, and visualize the findings.
However, in specific cases, businesses need R&D machine learning projects.
At N-iX, we have identified 6 common milestones of a successful enterprise R&D project in machine learning and the specialists you need.
- You need an experienced software architect to execute a robust architecture design of the machine learning solution.
- A Big data architect and big data engineers are responsible for constructing an appropriate big data engineering ecosystem (based on Apache Hadoop or Spark). It allows collecting, integrating, storing, and processing huge amounts of data from numerous siloed data sources. Link to Gogo
- A big data architect or a machine learning engineer to run ETL procedures (extract, transform, and load) on the newly created ecosystem.
- Data scientists may need to refine the data further to make it suitable for a specific business case.
- Data scientists and machine learning engineers are responsible for applying appropriate algorithms, creating models based on these algorithms, fine-tuning models, and retraining models with new data.
- Business intelligence specialists are responsible for the visualization of insights. Besides, you may need frontend developers to create dashboards with easy-to-use UI.
The demand for AI talent is soaring, and the battle for it is cut-throat. To get a competitive advantage without incurring losses, many businesses choose to cooperate with AI software developers in Ukraine. This is a rational choice thanks to the favourable combination of the Ukrainian AI talent market characteristics: a strong tech background, a thriving talent pool, a booming community of AI/ Data Science/Machine Learning engineers, and the substantial number of reliable AI software development companies with a proven track record of successful projects.
To check the viability of your idea and turn it into an AI-powered solution, don’t hesitate to get in touch with our specialists.