In recent times, AI has proven to be poised to transform nearly every industry, and with it will come significant changes for many job functions. Especially during the pandemic, the number of artificial intelligent jobs or AI related-jobs could increase globally by 13 to 16 percent. Many roles across organizations will require at least some use of artificial intelligence technologies in the coming years, creating massive new opportunities for the AI-savvy regardless of discipline.
AI Jobs – Careers in Artificial Intelligence
As the possible applications of AI continue to increase, so does the positive career potential for those with the skills needed to thrive in this industry. So, if careers in artificial intelligence appeal to you and you want a piece of the AI jobs too, what kind of jobs should you start looking for? What skills would you need to get hired? Let’s take a closer look
1. Data Scientist
Responsibilities: Data scientists are charged with collecting, analyzing, and interpreting large, complex datasets by leveraging both machine learning and predictive analytics. They also play a vital role in developing algorithms that enable the collection and cleaning of data for analysis.
Education & Training: Candidates must get accredited either a master’s degree in analytics or a master’s degree in Computer Science with a specialization in data science. Candidates looking to get started in data science need to be comfortable with big data platforms and tools like the following: Hive, Hadoop, MapReduce, Pig, Spar. Data scientists should also be highly experienced in statistical computing languages and programming languages: Perl, Python, Scala, SQL. To be considered, candidates should possess at least two years of experience working with machine learning.
1. Machine Learning Engineer
Responsibilities: The role of a machine learning engineer is at the heart of AI projects and is suitable for those who hail from a background in applied research and data science. However, it’s also necessary to be an AI programmer and demonstrate a thorough understanding of multiple programming languages.
Education & Training: If you take a look at leading job sites, you’ll find that many hiring companies prefer individuals who possess a master’s or doctoral degree in mathematics or Computer Science. To be considered, applicants must demonstrate an in-depth working knowledge of modern programming languages like the following: Java, Python, Scala. Professionals with strong mathematical skills, deep learning, and neural networks, with strong computer programming skills, analytical skills, and experience with cloud applications are more advantaged for AI jobs.
3. Business Intelligence Developer
Responsibilities: The primary objective of this role is to analyze complex data sets to identify business and market trends. They also have a key role in improving the efficiency and profitability of a business.
Education & Training: Unlike other artificial intelligence careers on this list, business intelligence developers traditionally only have been required to have a bachelor’s degree in engineering, Computer Science, or a related field. Furthermore, it is imperative to have considerable experience in data warehouse design, data mining, SQL queries, SQL Server Integration Services, SQL Server Reporting Services, and BI technologies.
4. Software Engineering
Responsibilities: Software engineers are part of the overall design and development process of digital programs or systems. In the scope of AI jobs, individuals in this role are responsible for developing the technical functionality of the products which utilize machine learning to carry out a variety of tasks.
Education & Training: Individuals hoping to achieve a successful career in software engineering should have a master’s degree in Computer Science. Those looking to then design software specifically for AI should also consider programs with a concentration in artificial intelligence.
5. Big Data Engineer/Architect
Responsibilities: big data engineers and architects play a vital role in developing an ecosystem that enables business systems to communicate with each other and collate data.
Education & Training: Candidates must demonstrate significant programming experience with C++, Java, Python, and Scala. They also have to show in-depth knowledge and experience engaging in data mining, data visualization, and data migration. Furthermore, candidates must also be experienced in AL, ML, natural language processing, information retrieval and quantitative finance.
6. AI User Experience Expert
Responsibilities: In terms of AI, a UX specialist’s responsibilities may include understanding how humans are interacting with these tools in order to develop functionality that better fits those humans’ needs down the line.
Education & Training: Earning a master’s degree in Computer Science can be beneficial for those looking to pursue a career in user experience for technology.
7. AI Research Scientist
Responsibilities: A research scientist is considered one of the leading careers in artificial intelligence jobs hub. These individuals are experts in multiple AI disciplines, including applied mathematics, machine learning, deep learning, and computational statistics.
Education & Training: research scientists often are expected to have an advanced Masters' or Doctoral degree in Computer Science. However, candidates who demonstrate extensive knowledge and experience in computer perception, graphical models, reinforcement learning, and natural language processing are more susceptible to get hired.
8. Natural Language Processing
Responsibilities: individuals in these roles will use their complex understanding of both language and technology to develop systems through which computers can successfully communicate with humans.
Education & Training: Those hoping to pursue a career in natural language processing should consider a master’s degree in Computer Science with a specialization in human-computer interface.
Take home note on AI jobs
We'll continue to see growth in AI jobs, more specifically in AI-related fields for the next decade. From this article, anyone can pick roles to engage in and the required training and responsibilities needed. As a push, according to the job site Indeed, the demand for AI skills has more than doubled over the past three years, and the number of AI jobs is up by 119 percent. This suggests that employers are going to struggle to fill these positions for many years.