Artificial intelligence, or AI, is one of the hottest topics in the world of business. AI capabilities have been useful in expanding the possibilities of real-time engagement with concerned customers. In addition, the top AI career opportunities allow professionals to contribute to the management of operations alongside ensuring business continuity.
The adoption of smart, data-centric technologies in business applications is growing at a rapid pace. AI, ML, and deep learning are some of the important technologies which have shaped the new industrial revolution. Artificial intelligence has been serving a positive impact across different industries, including automobiles, healthcare, education, manufacturing, and agriculture.
The preparation for the most popular artificial intelligence career opportunities would require you to learn about the fundamentals of AI and its implications. On the other hand, it is important to find out the different roles you can find with a career in AI. The following post helps you learn about the most promising career paths in AI and offers brief pointers on preparations for the desired role.
Why Do You Need a Career in AI?
AI is one of the formidable forces in the world of technology and offers a massive range of career opportunities. You can build a career in artificial intelligence and prepare for the jobs of future, where AI would be a key component in technologies used by businesses. Global AI adoption rate has increased at a steady pace and reached 35%, and the global AI market could reach almost $1811 billion by 2030. On top of it, AI has proved successful in boosting business productivity by 40%. In terms of investment, AI startups have been registering continuous increases in investment.
The opportunities in AI also point to the impact of AI on businesses. For example, around 97% of business owners believe that ChatGPT would have a beneficial impact on their business. In addition, around 60% of business owners believe that AI would increase productivity alongside improving customer relationships.
A research report by Gartner has also revealed that customer satisfaction will increase by almost 25% in 2023 for organizations that use AI. According to a report by McKinsey, companies focus on risks such as cybersecurity, personal privacy, compliance, and comprehension for the adoption of AI. All of these factors prove that you need to look for career paths in AI for multiple career benefits.
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Isn’t AI Supposed to Take Away Your Jobs?
One of the most common concerns associated with AI adoption points to the possibility of AI taking away people’s jobs. A survey report has pointed out that almost 63% of companies have decided to increase their spending on AI and ML in 2023. At the same time, around 38% of employees believe that their job will be automated by 2023.
Therefore, you need to look for artificial intelligence career paths which can help you prepare for the disruptive impact of AI technology on job markets. As a matter of fact, AI is most likely to generate almost 12 million additional jobs that it would replace. Jobs in AI will become the top talk of the tech labor markets as the AI industry will need almost 97 million specialists in 2025.
The lack of skilled individuals and hiring setbacks in AI industry have been serving as major setbacks for AI adoption. Therefore, you should look for guides on how to start a career in artificial intelligence to build the necessary skills required for AI professionals. Rather than worrying about AI replacing your jobs, you should think of ways to master skills in artificial intelligence. You should think of ways to stay ahead of the disruptive impact of AI in the industry of your choice.
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Skills Required for AI Professionals
The most noticeable aspect of career development opportunities in artificial intelligence is the flexibility of working in different industries. Artificial intelligence is a gradually expanding form of technology, and professionals with AI expertise are in demand. Interestingly, you can find the benefit of flexibility for building a career in artificial intelligence in the industry of your choice. AI professionals can find jobs in financial services, media, healthcare, marketing, retail, IoT-enabled systems, and technology. However, you would need a certain set of skills to establish your preparedness for the jobs in AI.
Candidates who want to capitalize on top AI career opportunities must have a comprehensive understanding of linear algebra and calculus. On top of it, you should have expertise in programming languages such as Python, MATLAB, and C or C++. The top five skills needed to apply for AI job roles are,
- Analytical skills
- Hands-on fluency in Python
- Communication skills
- Digital marketing objectives and Strategies
Some of the other crucial skills required for job opportunities in AI would include prompt engineering, machine learning, deep learning, and neural networks. In addition, problem-solving skills, management and leadership competencies, and industry knowledge are also important skills required for AI job roles.
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Is It Safe to Pursue Jobs in AI?
The number of job listings with the term ‘artificial intelligence’ has increased by huge margins on different job boards and professional networking platforms. Candidates might think that the most popular artificial intelligence career opportunities are reserved only for a few special professionals.
In addition, some beginners also think that AI jobs are available only in new startups. On the contrary, you can find some interesting job roles in AI at top companies such as Wells Fargo, Apple, Microsoft, Nike, Amazon Web Services, Spotify, Deloitte, IBM, Harvard Business School, and many others.
Another important factor in determining whether artificial intelligence career paths are suitable for you is the salary estimate. How much can you earn from AI jobs? Interestingly, the answer would point at multiple responses as the salary of AI professionals depends on different factors, such as the role and experience. For example, AI engineers are likely to have significantly higher salaries ranging up to $200,000, while AI developers can earn up to $150,000.
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Job Roles in Artificial Intelligence
The fundamental insights into the existing artificial intelligence market prove that professionals could capitalize on the opportunities of a burgeoning market. It would help them secure their career against the uncertainties due to changes in the job market. Here is an outline of the important job roles in AI you should pursue in 2023.
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1. Big Data Engineer
One of the foremost additions among job roles for a career in artificial intelligence points to the big data engineer. The big data engineer has to generate and manage big data for the organization. Big data engineers focus primarily on developing an ecosystem for managing big data of an organization. The detailed analysis of big data on a large scale leads to different conclusions. The essential prerequisites for becoming a big data engineer in AI focus on fluency in programming languages such as Python or Java.
2. AI Data Analyst
Another interesting job role in artificial intelligence refers to the position of an AI Data Analyst. AI Data Analysts focus on analysis and interpretation of large datasets to obtain insights into customer behavior, industry changes, and market trends. Professionals interested in such types of opportunities in AI should gain command over data analysis tools such as Python and SQL.
On top of it, AI data analysts should have an academic background in data science, statistics, and machine learning. AI data analysts work in collaboration with data scientists as well as AI software engineers to create applications and models that could support businesses in making data-driven decisions.
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3. AI Wrangler
The discussions about top opportunities for a career in AI would also point to the role of an AI wrangler. Interestingly, you wouldn’t find many listings for an AI wrangler among the jobs advertised in AI industry. AI Wrangler could work on management of large datasets and ensure their preparation for analysis.
In addition, AI wranglers should also ensure that the data has been refined, organized, and made ready for use. AI wranglers would need fluency in data manipulation, data mining, and cleaning. In addition, AI wranglers also work in coordination with data scientists, AI researchers, and machine learning engineers.
4. AI Software Engineer
The list of job opportunities for AI professionals would also introduce aspiring candidates to the role of AI Software Engineer. It is one of the top AI career opportunities right now as the AI software engineer role develops software for using AI. AI software engineers create software applications that use AI and machine learning techniques.
Therefore, AI software engineers would need skills in computer science and engineering. On the other hand, expertise in programming languages such as C++, Java, and Python is also a mandatory requirement for becoming an AI software engineer. Artificial intelligence software engineers contribute to the creation of AI algorithms and applications for solving real-world problems.
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5. AI Consultant
AI consultants could help a business understand the ways in which AI and machine learning technologies could transform their operations. The skills required for AI consultants include strong foundation-level knowledge of artificial intelligence, project management, and business operations. On top of it, AI consultants also work with businesses to identify the areas to implement AI. The primary objectives of AI consultants revolve around improving efficiency, increasing revenue, and reducing costs.
6. NLP Processing Specialist
Natural Language Processing, or NLP, is one of the important components of the AI landscape. The role of NLP Processing Specialist is one of the top ai career opportunities and offers clear routes for promising career growth. NLP specialists have the skills for designing, creating, and deploying AI models which could evaluate and understand natural language.
The important skills required for NLP specialists include linguistics, artificial intelligence, and computer science. In addition, NLP specialists also develop AI models with features for analyzing text data, providing insights into customer behavior, and understanding human speech.
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7. AI Research Scientist
The next common choice among artificial intelligence career paths for you would refer to the role of an AI research scientist. AI research scientists take responsibility for the development and implementation of AI algorithms and models. The requirements for AI research scientist jobs include an academic background in mathematics, computer science, or engineering.
On the other hand, candidates should also have expertise in statistics, machine learning, and deep learning. AI research scientists have to experiment with new AI technologies and research projects in the field of robotics, natural language processing, and computer vision.
8. Business Intelligence Developer
The role of a Business Intelligence or BI developer focuses on promotion, expansion, and maintenance of BI tools and interfaces. BI developers should also determine calculated solutions for complex issues in an organization. In addition, business intelligence developers must also recognize important business trends through assessment of complicated data sets. Business Intelligence or BI developers would need basic knowledge of SQL and prior experience in computer programming as well as data sets.
9. User Experience Specialist
You can also try the job opportunities in AI, like the User Experience or UX specialist role. UX specialists have a background in user experience, design, and human-computer interaction. In addition, a UX specialist must have fluency in UX design tools such as Adobe XD and Sketch. On top of it, UX specialists in AI would also have to work in coordination with AI product managers and software engineers to create simple and intuitive interfaces.
10. Machine Learning Engineer
The most important addition among the answers for how to start a career in artificial intelligence would point at the role of machine learning engineer. Machine learning engineers have to work on development, testing, and deployment of machine learning models.
The machine learning models could evaluate massive datasets and provide relevant predictions. Machine learning engineers need experience in working with programming languages such as Python. In addition, they need fluency in machine learning algorithms, data analysis, and statistics.
The outline of job roles in AI proves that you can become an AI professional and enjoy promising career benefits. First of all, AI is the technology of the future, and almost every industry is working on AI-based projects. Therefore, a career in artificial intelligence seems more like a necessity than a choice.
You should review the career prospects in AI again by going through information about the AI market. At the same time, you must learn about different ways in which AI finds practical applications in the real world. Find the most credible training courses on artificial intelligence and discover the ideal career paths for you now.