Career Opportunities in Artificial Intelligence: List of Various Job Roles in the Market
A job in any AI field offers a promising career as its application potential is limitless. With a CAGR of 36.2%, similar web reports that the AI market will reach $407 billion by 2027. Therefore, tapping into this growth at the right time can be a fruitful career choice.
However, with the different sectors of AI and the various AI career opportunities enclosed within each sector, it can be difficult to choose the right path. It is important to explore the different AI job roles in the market first to make the right decision.
Top Career Opportunities in Artificial Intelligence
AI careers have recently gained popularity due to a 32% job growth. Moreover, due to a gap in the market demand and availability of AI experts in the industry, AI job opportunities offer stability and security.
There are various career paths in artificial intelligence that one can choose from, such as:
1. Data Scientist
Data scientists collect, analyze, and process raw data using tools and algorithms to identify meaningful patterns. As one of the most lucrative career paths in artificial intelligence, data scientists are hired by several industries to help make data-driven decisions.
2. Machine Learning Engineer
The job opportunities in artificial intelligence and machine learning go hand in hand, as machine learning is a subset of AI. ML is used to run simulations and find applications in different sectors.
A machine learning engineer builds and maintains the software that enables machine learning. As an ML engineer, you must be able to apply predictive models and deal with large amounts of data.
3. Big Data Engineer
You will plan, design, and develop big data environments as a big data engineer or architect. One of the most high-paying jobs in AI, big data engineers help businesses maintain their data architectures and obtain business-aligned outcomes.
4. Business Intelligence Developer
Business Intelligence (BI) developers are responsible for designing, maintaining, and modelling complex data on inaccessible cloud platforms for businesses to use. BI developers also help process this data to identify trends using simulated data, which is fed to AI for better outcomes.
5. Research Scientist
An AI career finding application in the advancement of artificial intelligence and machine learning, research scientist roles are tasked with performing research related to the application of ML. As a research scientist, you must have expertise in different AI disciplines, such as deep learning, statistics, and mathematics.
6. Data Analyst
While data analysts were previously tasked with repetitive collecting, cleaning, and processing of data to find insights, the introduction of artificial intelligence has automated these processes. As AI data analysts, experts now must prepare data for ML models and create reports based on them.
7. NLP Engineer
Natural Language Processing or NLP engineers specialise in adding the human touch to AI. Helping build voice assistants, speech recognition, and document processing software, NLP engineers ensure the connection between computer systems and human languages.
8. Robotics Engineer
One of the first AI careers, robotics engineers help build and maintain AI-powered robots and develop robotic systems. Increasingly developed and used for critical industries such as healthcare and common use, such as personal assistants, AI-enabled robots are the future.
9. Product Manager
Product Managers in AI help resolve problems by strategically collecting and interpreting data to find the best solutions. In addition, a product manager analyses data to predict the outcomes of different decisions, helping choose the best path for a business.
10. AI Engineer
AI engineers develop, test, and apply different AI models using ML algorithms and neural networks. In addition, they help handle AI infrastructure and test AI algorithms. As an AI engineer, you can help develop various AI algorithms for businesses and industries.
Skills Needed in Artificial Intelligence
There are various prerequisites and skills required to build an AI career. While the specific skill set varies with each job role, the following are the common skills that you require for jobs in AI:
- Bachelor’s and Master’s degree in Computer Science, Physics, Mathematics, or any related technical field
- Deep understanding of AI and ML concepts and algorithms
- Working knowledge of programming languages, such as Python and Java
- Familiarity with ML frameworks like TensorFlow and Keras
- Experience in data manipulation and analysis tools
- Familiarity with cloud-based ML platforms
- Knowledge of big data and computing framework
- Communication and analytical skills
Jobs in Artificial Intelligence Reality
The growth of AI has led to increased demand for AI experts. Around 83% of companies have reported that AI is a top priority in their plans, which ensures lucrative career opportunities across industries.
Since artificial intelligence applications are not limited to one sector and are based on transferable skills across numerous industries, AI careers offer versatility and job security. Moreover, these jobs are high-paying, averaging over $100,000.
With an IT background, knowledge of the basic concepts, and proficiency in AI skills, you can easily enter an AI career. You can also take online courses to strengthen your chance of leveraging the thousands of career opportunities in artificial intelligence.
Future of Artificial Intelligence (AI)
AI is continually growing, finding applications in different industries and sectors. According to the Gartner report, in 2019, AI applications saw 270% growth. This has undoubtedly led to a boom in AI career opportunities.
With more than 70% of organisations using AI to ensure growth, careers in AI are promising, secure, and reliable. Understanding the different career options in artificial intelligence is vital to selecting the one most suitable for you.
Based on this, you can develop the required skills and tap into a growing market that offers one of the highest salaries and low competition.
Final Words
Multiple industries are looking to hire AI specialists who can help them grow in this competitive market, so job opportunities in artificial intelligence and machine learning are on the rise. The demand for AI experts is high, from small businesses to corporate tech congregations.
Moreover, with the job security, high salary, and vast applications that AI offers, exploring AI job opportunities and learning the required skills can help you build a lucrative and secure career.
Career Opportunities in Artificial Intelligence FAQs
Since AI focuses on application and analysis, having hands-on experience is a prerequisite for most jobs. If you do not have real-world experience, you can also opt for courses that include hands-on projects for the necessary experience.
A job in AI requires you to have a Bachelor’s degree in any tech-related field, such as computer science, mathematics, and statistics. Apart from this, you can work on building a strong portfolio, getting certifications, and performing hands-on projects with online courses.
When starting a career in AI, you must research the potential roles and the courses you can take. You can opt for an online course offering job assistance if you have a bachelor’s degree in a related field.
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