Challenges of Hiring Dedicated Developers for AI Projects

Artificial intelligence is more than prepared to incorporate itself into our daily lives. From facial recognition on our smartphones to autonomous cars, and from virtual doctors to Siri & Alexa, our daily interaction with AI-powered gadgets has become effortless and constant.. While the debate on AI's future and ethical dilemma still remains alive, there is no stopping businesses from climbing the ladder of AI implementation.

So, what makes Artificial Intelligence so attractive to business? The answer is simple; Innovation and efficiency. AI's biggest promise behind its steadfast implementation across industries is its capability to replace human efforts with smart and standardized solutions. AI is not only streamlining business operations, optimizing resources, and increasing returns, but it is cutting the cost of the overall business by reinstating the day-to-day activities.

Hiring knowledgeable and committed Artificial Intelligence Experts is the first step on the path to flawless AI strategy and execution. Sadly, it is easier said than done. According to the study from SnapLogic , 93% of UK and US organizations are eyeing AI integration in their businesses, but 51% acknowledge the lack of the right AI talent and expertise to make it happen.

Are you planning to launch a new app or design a new project that relies heavily on AI implementation? Do you want to get your hands on the dedicated teams of developers for your AI project without wasting valuable time and resources? This write-up will address all the major challenges you might encounter while hiring developers for AI projects.

The Demand for AI Professionals

It is no secret that the market for AI specialists job market is thriving. According to a recent report published at McKinsey & Company, Artificial Intelligence is projected to add $13 trillion to the global economy by 2030 In terms of work, this market forecast is expected to bring in over 1.1 million new job opportunities related to AI implementation and AI-powered software development.

Another report from UpMarketResearch estimates global Artificial Intelligence (AI) market will grow at a booming rate of 40.2% CAGR (Compound Annual Growth Rate) from 2021 to 2028. While top companies like Facebook, Amazon, IBM, and Microsoft spend on research and development in AI, smaller organizations tend to rely on outsourcing agencies to embrace and integrate AI and ML into their businesses.

According to the Bureau of Labor Statistics, the number of jobs for software developers has grown significantly over the past few years. In fact, demand for software development professionals has risen 78% since 2014—and this trend is expected to continue into 2025 as well.

What is Required of a Good AI Developer?

Businesses looking for potential AI professionals should know how AI developers differ from general niche-specific developers. To help you hire more efficiently, the following are the skillsets required to qualify for an AI developer.

Technical Skills

• Programming Skills (Python, R, Java, and C++)
• Linear Algebra, Probability, and Statistics (Hidden Markov models, Naive Bayes, Gaussian mixture models)
• Spark and Big Data Technologies (Apache Spark, Hadoop, Cassandra, and MongoDB
• Algorithms and Frameworks
• (Machine Learning: Linear regression, KNN, Naive Bayes, Support Vector Machine)
• Artificial Intelligence: PyTorch, Theano, TensorFlow, and Caffe)

Soft Skills

• Communication Skills
• Problem-solving Abilities
• Time Management
• Teamwork
• Business Intelligence
• Critical Thinking Ability

Top Challenges for Hiring Dedicated Developers for Artificial Intelligence

Technical Challenges

AI Skills Shortage

Despite Artificial Intelligence making huge inroads across industries, organizations are facing substantial barriers in picking the right AI skillset. According to the AI Skills Gap Study, 51% of companies in the US and UK don't have access to dedicated in-house AI teams to execute their business strategy.

Speaking specifically about the United States markets, the AI skillset shortfall is expected to reach around 300,00 people by 2024, according to a report by the Center for Economic Analysis. Looking at these numbers, it is safe to say that you will require a good amount of luck on top of your recruitment skills to land the right skilled team for AI projects.

Niche Expertise

Where Artificial Intelligence has opened limitless business opportunities, it has also attracted a good number of tech enthusiasts to pursue a promising career in it. The only downside to this is that the markets are getting saturated with programmers essentially claiming AI proficiency without the required niche expertise.

Organizations have found a solution to this problem and are now considering in-house AI education and training. However, not all aspiring AI companies can afford to spend additional budget on artificial intelligence app development training, deploying AI training resources, or buying and licensing capabilities from more established AI companies.

AI is Expensive

Probably the most significant challenge that is obstructing AI implementation is its cost. Many organizations wake up to a quest to incorporate Artificial Intelligence in their business. But don't take too long to postpone their plans before looking at the cost that is required to implement it. According to a study , on average, development, testing, and deployment of an artificial intelligence platform (MVP) would cost somewhere between $20K-$35K in 2022, at bear minimum.

Companies with smaller project budgets are likely to face difficulties in hiring and onboarding the rightly skilled Artificial Intelligence specialists on the project. As a solution to this, companiescan try to hire remote AI development teams as their extended arms to make the AI implementation achievable.

On-Boarding Challenges

Time Zones Differences

Time zones are a challenge for companies hiring AI developers working in multiple time zones. It can be difficult to coordinate meetings and deadlines with teammates across the world, especially if you're working on an AI project requiring high levels of collaboration.

In addition to this obvious problem, Time zone differences can cause delays in communication; it takes longer for someone to respond when they're in a different time zone than you are (this is especially true if they don't speak English). The solution to this can be using modern communication tools like Slack, Trello, or IRC chatroom to keep communications fluent & open.

Communication And Cultural Gaps

In addition to time-zone challenges, companies also suffer from cultural and communication gaps when hiring dedicated AI specialists remotely. Cultural differences, language barriers, miscommunication, and misunderstanding can lead to project delays or failure altogether if not handled properly.

While it's important for both sides of a project team to understand each other's expectations on the job at hand—and even more so if they're working remotely—the main goal should be effective communication, so you don't end up with anything less than what was promised in your contract.

Quality Control

The quality of your AI project will depend on the quality of its source code, and it's important that you have someone who can test and QA your code before you release it to the public. If a bug is found during testing, then it has to be fixed as soon as possible so that users don't encounter issues with using your product or service.

To avoid problems related to the quality of your project, an efficient QA ecosystem should be implemented for every stage of development—from brainstorming ideas for new features until launch day—to ensure that everything goes smoothly with as little hiccups as possible.

Conclusion

Finding ways in which AI could revolutionize certain aspects of your business has become easier over the years but finding the right specialists for your AI project isn't easy by any stretch. The key takeaway here is to take your time as a recruiter and be sure you are getting the right person for the job and that they have been properly vetted.

You also need to make sure their skills match up with what your company. Lastly, the goal is to align the communication lines between you and your new hire, so there aren't any misunderstandings later on down the road when trying to work together on an important project!

The Golden Tip: If you have finally made up your mind to optimize your business with the help of AI but fear the aforementioned challenges. We have got your back. With highly vetted AI expertise and hands-on experience in delivering world-class solutions, Aspired is ready to extend managed teams on demand.

Ready to Step into the AI revolution? Contact Aspired for more details!