AI is creating a massive disruption in all businesses and industries. According to a report, the AI market is likely to grow at a CAGR of 38.1% from 2022 to 2030. It means AI is here to stay and all industries have to integrate AI-powered tools and systems in their businesses.
It will generate huge jobs for skilled professionals who are well versed in AI and other advanced technologies.
According to the World Economic Forum, around 100 million people will join the AI workforce by 2025. But it’s easier said than done. Just like any other profession, you need in-depth knowledge of AI, technical abilities, and soft skills to succeed in this field.
In this article, we’ll take a look at all necessary technical and non-technical skills needed to get a job in AI.
Top 5 Technical Skills Necessary for AI Professionals
1. Programming Skills
AI professionals need to have sharp programming skills and thorough knowledge of coding languages like Python, R, Java, etc. Candidates are also expected to have a thorough understanding of algorithms, data structure, graphs, and computer architecture.
2. Data Mining
AI professionals have to work on many fronts, but their primary task is to analyse the available data and find crucial information from it using the principles of data analytics and data science. Through data mining, firms can analyse the changing taste and preference of customers, which would help them improve the quality of products and services. It can also help organisations make complex market predictions and work on that to improve the overall ROI.
3. Quantitative Aptitude
Algebra, Linear fraction, and Quantitative aptitude are some key mathematical concepts that are always required while working on AI-based projects. These skills are needed every day. If you have a solid understanding of calculus, statistics, probability, and algebra, your life as ana AI engineer will be a lot easier.
4. Data Visualization and Modelling
AI professionals have to work round-the-clock with massive data sets. Before picking up relevant data for further analysis, they need to visualize data sets by themselves. They should have good data visualization skills, which help them create charts, graphs, or create infographics from the available data sets. The purpose of data visualsiation and modelling is to help AI professionals express their ideas in a simple and lucid manner to people from the business side of the organisation.
5. Signal Processing Testing
The crux of signal processing testing lies in AI-based tool’s ability to extract data and then covert pixel values to structured information. Unless you have signal processing testing abilities, you may not be able to work with advanced AI concepts like convolution, time-frequency analysis, Fourier algorithm, and others.
Signal processing has its application in electrical engineering too, which primarily focuses on synthesizing, analysing and altering sound waves or detecting signals in electrical equipment. It has also proven beneficial to AI programming for speech recognition, image processing, wireless communication, and video editing.
Top 5 Non-Tech Skills Required by AI Engineer
Don’t forget that skills required for an AI engineer include both technical and non-technical skills. Both sets of skills are complementary in nature. If you lack any of the basic technical and non-technical skills, you may not succeed as an AI professional.
1. Communication Skills
All AI professionals should have excellent communication abilities. It’s non-negotiable. If you are an AI aspirant, you must start working towards improving your communication. AI engineers must be good communicators and should know how to explain complex technical data to other people in a simple manner without use of technical jargon.
2. Problem-Solving Skills
Unforeseen problems and erratic work schedules are a basic nature of an AI job. But the success of an AI professional depends on how he or she takes the challenges and works with a problem-solving attitude. Before making any major decision, an AI professional should step into the shoes of the user—that’s how they can understand what the user and company expect them to do.
3. Collaboration and Team Spirit
It’s essential for an AI professional to work with people and the team to collect data and convey the necessary information to the higher management in an easy-to-understand manner. They need to interact and communicate with people from other departments and companies too, that’s why AI professionals should have great collaborative skills.
4. Time Management
Professionals need to have great time management skills. As an AI engineer,you have to deal with huge quantities of data. Unless you allocate your time properly to data sets under observation, you may fail to draw correct inferences from them. However, it’s crucial to understand the nature of the data first.
For example, not all data may be useful for the organization. In that case, the task of an AI engineer is to spend more time on data that might be useful for the organization and less time on data that is not useful.
5. Ability to Work Under Pressure
An AI professional should have the ability to work under pressure. They need to race against time while using AI for predictive business analytics or offering up-to-date market insights. AI professionals should be ready to work under tight deadlines and deliver their best work without losing focus or compromising the quality of work.
Wrapping Up
The work profile of an AI engineer or professional offers a steady growth and well-defined career path, besides lucrative salary packages and other perks. But you need to be proficient at technical and non technical skills without which you may not succeed in your career.
If you are interested in launching an exciting career in AI, make the right step forward with Skolar. Besides imparting necessary technical knowledge and practical skills, we will also help you develop non tech skills required as an AI engineer—so that you are properly groomed for your dream job.
