Hire Artificial Intelligence Developers
Artificial intelligence (AI) is a complex domain, which includes specialized hardware, computing machines, software programs, complex mathematical algorithms. The main objective of artificial intelligence is to develop human-like cognitive capabilities. The roles of a machine learning developer, a mathematician, and a computer engineer are very critical to realize this objective. Let’s talk about how to develop artificial intelligence software properly and how to find and hire the best fit of AI engineer who will help you to succeed in the information technology strategy consulting.
The importance of an artificial intelligence developer in the present day modern era has become so crucial owing to the implementation of artificial intelligence solutions in almost all domains of the businesses, research, social activities, and other fields. The use of AI in business and industry has taken new heights, especially in the domain of software platforms and tools. According to the Tractica Forecast, artificial intelligence programming is anticipated to grow exponentially at about 56.8% CAGR from 2016 to 2025. The total revenue generated by the software AI applications and platforms will reach $36.8 billion by 2025 from as low as just $643.7 million in 2016.
Artificial Intelligence in Our Everyday Lives
Many of the artificial intelligence solutions and problems that people used to tell in their fictions and stories in the past have practically materialized in our modern lives. Almost every sector of business uses artificial intelligence to build business intelligence for better positioning in the competitive marketplace. According to the Forrester PredictionTractica Forecasts 2017, the insight-driven businesses – mostly powered by AI intelligence – will steal more than $1.2 trillion annually by 2020 from their competitor peers that don’t use the artificial intelligence in business for insight-driven decisions. Let’s talk about a few top examples of artificial intelligence in business that impact our everyday lives.
Business Management Processes
Modern business management is highly influenced by the implementation of artificial intelligence applications and tools. Among these business processes a few important ones are listed below:
- Sales and inventory forecast
- AI-based automated customer support through online responded tools
- AI-based personal assistants from many AI development companies that use artificial intelligence in their PA tools such as Google Now and others
- Customer behavior learning tools to generate insight for business positioning
- Email categorization tools for efficient use of emails
- Text to voice conversion and vice versa applications for quick content creation
- And many more.
Marketing & Sales Management
The professional management of marketing and sales of modern business in our daily life is highly influenced by the artificial intelligence business applications to accelerate sales and reach the market segments identified based on the AI insights for better marketing results. The main examples of AI tools include:
- Customer segmentation tools based on the data analysis and manually annotated data for AI
- Real-time content curation and recommendation of items based on your interest apps
- Image recognition and pattern learning tools help better management of marketing and sales
- Sentiment analysis tools commonly used for the identification of customer sentiments
- Predictive customer understanding tools for better sales in the marketplace
- Dynamic price optimization and other incentivized features through AI apps
- And many others
The Google self-driving car commonly referred to as WAYMO is one of the great solutions to artificial intelligence-based transportation in our modern lives. This car uses the multiple sensors connected with the centralized processor that is an AI software platform, which controls all the functions of the car. There are other companies developing AI-powered transport technology. Tesla has been manufacturing self-driving cars, focusing on improving the autopilot system. While Uber is involved in the testing of “robot-taxis”.
Vehicles featuring technology are already available in the market and offering various advantages. This technology can help with automatic collision detection, signage processing, and automatic brake systems. The development of artificial intelligence in transportation has helped reduce the occurrences of vehicular accidents. In the future, the development of artificial intelligence with the purpose of powering transportation might even have an impact on a larger scale.
Top Artificial Intelligence Trends
As the artificial intelligence market is swelling exponentially all over the globe. According to the MarketsandMarkets™ predictions, the global market value of artificial intelligence will cross $190.61 billion by 2025 with a gigantic CAGR growth of about 36.62% between 2018 and 2025. This huge growth in the near future will be dominated by the following main trends in the industry.
Trend #1. Emergence of Cloud-Based AI Services
Cloud-based artificial intelligence services and platforms powered by Java, Python and Ruby artificial intelligence will be the next big thing in 2019 and beyond. AI web development can be costly for companies developing AI. But with cloud computing, companies are now able to use AI technology through cloud-based AI products providing Service as a Service. IBM provides the services of its IBM Cloud, Amazon has its Amazon Web Services, Microsoft Azure, and Google Cloud are just some of the popular cloud-based AI SaaS available in the market for companies and top artificial intelligence specialists for hire looking for such services. Cloud-based AI SaaS offers a diverse amount of service for its users; such as AI and Machine Learning Kits, data processing and analysis, AI tools and frameworks for developing AI projects, and many others. The AI leverage as SaaS services will emerge as a powerful driver in the marketplace.
Trend #2. AI-Based Transportation
Self-driving vehicles will be a big trend, which will kickoff extensively in all major markets of the world. Tesla, Google, and Uber are just some of the companies developing ai for this industry. Tesla is improving the autopilot systems of self-driving cars, Google’s WAYMO is developing AI-powered centralized vehicles, and Uber testing their “robot-taxis”. Artificial intelligence software companies are also taking steps towards manufacturing self-driving trucks, with the goal of improving courier and trucking services.
This trend will continue for many years to come. The traditional transportation system will undergo substantial changes due to the emergence of self-driving cars based on AI power. With the development of artificial intelligence tools, devices and machines may be moving toward being more intelligent and AI-powered. Self-driving vehicles have a lot of potential and advantages; such as improving and enhancing the driving experience and reduce the risks and vehicular issues that are encountered.
Trend #3. AI-Based Creation of Content
This is another big trend in the industry that will pose a threat to content creators like me! Many AI development companies dealing with the content creation will adopt AI-based applications and tools to create content for their businesses. Examples of such companies using AI-based content include CBS, US Today, and others.
With the quality of learning that computers are now, and in the future, capable of, the use of AI in developing quality digital content is not too far-fetched. It may seem like a threat to writers like me, however, just like any technology, this can be used as a tool to enhance and streamline work. Tools like Grammarly helps reduce time spent proofreading content, Crayon and Uberflip can be a source of great topics for a blog, Acrolinx can also help improve content for a target audience. AI tools have the potential to enhance the quality of our work, as well as streamline most of the process.
Trend #4. Cost of AI Will Decrease
If you ask how much does artificial intelligence cost now, the answer is boggling high, but it will decrease very soon. This is a very common fact large scale manufacturing and development of products will reduce the cost of the AI services, products, and equipment. The cost of AI will decrease, but the cost of artificial intelligence software developer will keep increasing due to the scant availability of the same in the marketplace.
It is the classic case of supply and demand. Before when there was a limited number of machines capable of developing and implementing AI, the technology was costly and was a very niche in its capabilities. However, with the prevalence of devices and machines capable of applying AI tools and its derivatives, AI has become a hot commodity, a feature that needs to be in devices to show that it is up-to-date with technology. Because more devices are capable of AI, and different interpretations are now available for use, the cost of AI software development technologies is less than it used to be, but with even more potential than before.
Trend #5. AI Will Increase Unemployment
This trend may become a political and social issue across the globe. According to the CNBC report, more than 25,000 jobs of truck drivers will vanish in the USA market only due to self-driving vehicles. Similarly, a large number of about 1 million pickers and packers working in the warehouses across the USA may lose their jobs. This trend will also leave an impact on many other industries across the globe.
As AI development evolves, more repetitive and assembly processes will be machine-led. Manufacturers will move towards replacing assembly lines with machines to improve efficiency and lower costs. And with the quality of learning that artificial intelligence development has been showing over the years, other industries such as customer service, healthcare, and financial services will also be applying AI tools. There is the potential for better efficiency in applying such tools. This will impact the workforce, however, this can also be an opportunity to shift more of the workforce to other industries needing more manpower, or developing industries of categories of jobs to augment this trend.
Trend #6. Defense Sector Will Aggressively Embrace AI
The defense industry has always been thinking about the aggressive use of AI-based warfare equipment and robotic warriors for so long now. Now, there’re more advanced options for developing artificial intelligence warrior robots and AI-based warfare equipment and machinery in 2019 and beyond. Artificial intelligence software companies are now finding military, security, and defense potential for AI tools. Intelligence systems, machine learning, and artificial intelligence are now tools used to collect, process, and analyze military and defense tactics and situations.
The AI development for the defense sector has the potential to improve the welfare of defense personnel. Sending robots and drone systems to collect, process, and diffuse situations instead of military or other defense personnel lower casualties, while AI and machine learning can be used to improve surveillance, navigation, and targeting systems. However, caution is highly recommended, because just like a gun and a car, AI-powered technology can easily become a weapon when used in the wrong way.
Different Industries Where Artificial Intelligence Developers Are Working in
The artificial industry has taken very strong roots in almost all kinds of industries across the globe. The main industries that have already been heavily influenced by the use of AI applications and tools include the following:
Examples of AI in Businesses
There are hundreds of examples of artificial intelligence applications in our everyday business. A few most popular applications commonly used in the workplaces of today’s modern businesses are given below:
This is very popular and powerful application used for customer support services. It is used to improve emotional behavior through behavior adaptation. It helps improve the phone communication experience of customers with customer support representatives.
It is a very useful iOS app used for personal management for the workplace as well as for personal life. It can also be used with Mac and other Apple devices. You can manage many tasks such as sending messages, gathering information, and many others with the help of this app easily.
Tesla car is a self-driving and highly featured vehicle in the marketplace. It has many great cognitive capabilities such as sheer tech coolness and predictive abilities that make it more attractive than ever before. The features of this car are regularly improving with the passage of time through regular updates in technology.
Netflix predictive technology is based on artificial intelligence applications, which uses the comments, reactions, and other activities of the customer to suggest new movies and entertainment videos. This is very effective in analyzing hundreds of millions of records and data strings. It is getting smarter with every single passing day.
This is a very powerful application that is able to be integrated with the Alexa, which is a Google AI app. This AI learns from the behavior of your body to adjust the heat and cold of your office or home. It has now been integrated with many other components, such as cameras, door locks, and other equipment. This is being extensively used in modern businesses nowadays.
Other than above mentioned a few popular AI platforms, there are a large number of applications that are being used in our day to day business. A few of them include Alexa, Pandora, Amazon AI transactions, Boxever, WalkMe, AISense, and many others.
Top 7 AI Benefits for Your Business If You Hire AI Developer
Artificial intelligence is extensively used to achieve competitive advantages and business efficiency. The main benefits of hiring AI developer in the business include the following.
Demand for AI Developers for Hire in the Market
According to the TechRepublic analysis, the data scientist, machine learning developers, research scientists, and other AI jobs are among the highly demanded roles in the marketplace. This trend to hire artificial intelligence expert will remain for many years to come. There are many good reasons for this increasing demand for AI development teams in the marketplace. The main reasons to hire AI engineers are listed below.
- Exponentially increasing the amount of big data, which requires many software tools to handle. So the demand for AI developers will remain intact for many years.
- Internet of things (IoT) is being extensively adopted in all domains of business, and industries that require numerous software tools to control the processes.
- The automation industry is taking high leaps in recent years, which require sophisticated AI software platforms and tools for developing artificial intelligence projects; so AI software developers are needed here again.
- AI software apps in the entertainment and gaming sector are the other major driver for the freelance AI developer in the marketplace.
Artificial Intelligence of Things (IoT) Developer Resume Samples
The Demand for AI Consulting Services
There is something more than a development. Right, here are the 2 main drawbacks AI company faced during their artificial intelligence development, according to this report:
- Absence of AI strategy
- No understanding of all AI capabilities
These 2 factors are probably the main in the specter as they define the goal and success of the business. Luckily, there are services that are responsible for these 2 crucial points here – AI consulting. Finding the right AI consultant may turn your AI business development around, obviously, in a good way. So, before finding another AI developer for hire or even Artificial Intelligence dedicated team, think twice if you need him/her, or you just need a good AI consulting expert.
AI Development Costs and AI Programmer Salary Rates
According to the Glassdoor information, the average AI development cost is about $104,462 per annum in the USA. Similarly, Indeed.com reports it about $98,138 per annum. From these figures, it is very clear that the cost of AI developers and engineers is very high as compared to other software developers.
For a better perspective on the matter, below are some of costs to hire AI developers from various countries around the world.
According to the PayScale information, the average cost of an AI programmer in the USA is about $90,863 per annum. Development of AI software cost in the Western European countries is also very high, as shown by the average annual cost in the United Kingdom and France in the table above. Hiring AI developers or the whole Artificial Intelligence development team can be costly. However, the potential that they bring to a project may well be worth the decision to hire artificial intelligence developers. Besides, you may consider Artificial Intelligence outsourcing to countries like Ukraine that will save your budget a lot.
Where to Hire an AI Developer and AI Development Team
The salaries of artificial intelligence developers, engineers, and programmers in North American and Western European countries are very high, and the process to hire an AI programmer or hire AI app developer is very lengthy and governed by many social, governmental and industrial rules and regulations. This creates many roadblocks for companies in those countries to hire local technical resources. So, they make a decision to outsource AI development and prefer AI offshore solutions.
Our Approach to Artificial Intelligence and Machine Learning Services
Mobilunity’s AI and Machine Learning development services are designed to provide our clients with the best possible solutions to their AI development needs. Our approach consists of three key stages: Data Acquisition & Understanding, Modeling, and Deployment.
Data Acquisition & Understanding
When it comes to machine learning and AI services, we pay attention to the strong background of our engineers in data acquisition and understanding. This includes the following skills related to building data pipelines:
- Building data pipelines — data extraction, transformation, and loading (ETL), data validation, and quality checks. A strong AI developer should be familiar with the various tools like Apache Kafka, Apache Nifi, or AWS Kinesis used to build data pipelines.
- Setting up the environment — configuring the infrastructure needed to support the AI model, such as cloud-based servers, containers, and virtual machines, and managing dependencies and libraries. The goal of environment configuration is to make it secure and compliant.
- Data wrangling, exploration, and cleansing — cleaning and pre-processing data to ensure it suits an AI model. It also involves exploring and visualizing data to identify patterns and insights to improve the AI model’s accuracy.
Besides data acquisition and understanding, a strong AI developer should have expertise in modeling. This includes skills related to feature engineering, model training, and model evaluation.
- Feature engineering — transforming raw data into a set of features that can be used to train the model. This is a critical step in the AI & Machine Learning services process since the quality of the features used in the model can significantly impact the model’s accuracy and performance.
- Model training — using a dataset to teach the AI model how to make predictions or classifications. A strong AI developer should be familiar with various machine learning algorithms, such as linear regression, logistic regression, decision trees, and neural networks. They should also know how to optimize these algorithms for accuracy and efficiency.
- Model evaluation — measuring the model’s accuracy, precision, recall, and other metrics to determine how well it’s performing. A strong AI developer should know how to choose the right evaluation metrics based on the problem they’re trying to solve and how to interpret the results.
The final stage of the AI development process is deployment, where the AI model is put into production.
- Scoring — using the AI model to make predictions or classify new data. A developer should know how to integrate the AI model into the production environment and configure it for receiving and scoring the new data.
- Performance — model compression, caching, and parallelization. A strong AI developer should know how to optimize the model’s performance for speed, scalability, and accuracy.
- Monitoring — ensuring that the AI model is performing as expected in production. A strong AI developer should know how to monitor the model’s performance and identify issues such as model drift or data quality issues. They should also be able to implement alerts and notifications to quickly respond to any issues that arise.
- Support — resolving the issues the end-user may encounter or answering their questions. An AI engineer should be able to maintain the model and update it as needed based on feedback and new data.
Whether you’re looking to build a new AI system or optimize an existing one, hiring a skilled AI developer can help you achieve your goals. Choosing a reliable AI development company will help you access the pool of top AI development engineers with rare skills and expertise. Selecting Mobilunity’s AI and machine learning services, you can rest assured that you will get the best result possible.
For such countries, outstaffing is one of the best option to choose from. By outstaffing a dedicated resource through a third party company like Mobilunity, AI development team providing services, you can save a lot of time and money, and improve the quality of your software development projects. Mobilunity offers highly qualified and skilled Ukrainian AI dedicated developers and AI consulting services, including GIS software developer for your artificial intelligence-based projects at very competitive prices.
Contact us now to find a highly-skilled AI developer for hire for your AI software development platforms!
All salaries and prices mentioned within the article are approximate NET numbers based on the research done by our in-house Recruitment Team. Please use these numbers as a guide for comparison purposes only and feel free to use the contact form to inquire on the specific cost of the talent according to your vacancy requirements and chosen model of engagement.