Introduction to Careers in Artificial Intelligence
Artificial Intelligence has turned from a niche technology/computational area into a mainstream computer science engineering toolkit. It has generated chaos in Silicon Valley, and big IT giants like Google, Facebook, LinkedIn, and others are heavily investing in Careers in Artificial Intelligence. Artificial Intelligence goes with the tagline “The Future is Automation,” and the newbies are also starting up with these technologies as the market is very new for enterprise-level stuff. Artificial Intelligence careers are expected to be at the heart of new IT developments such as automation, DevOps platforms, Internet Chatbots, and robotics. Careers in Artificial Intelligence is a fast-paced and challenging field that makes visible inroads into everyday life.
Education Required for Careers in Artificial Intelligence
The requirements for future grads will change due to the significant number of emerging multidisciplinary support alternatives due to AI and machines. There will be hardly any need for employees who do simple and repetitive work. Already today, the number of factory workers is constantly decreasing, and humans are ever more becoming the control mechanism of the machine. The automotive industry, which pioneers the use of fully automated production steps, should consider primary education.
- To have a career in Artificial Intelligence, you should have at least a CS degree and solid programming fundamentals.
- Understanding Artificial Intelligence research’s logical, philosophical, and cognitive foundations would be best.
- You should have a good overview of the leading AI techniques and an in-depth understanding of how to apply these techniques in at least one of the areas within multi-agent systems, reasoning, or cognitive processing.
In addition, you should have the skills to conduct AI research in academic or R&D environments and identify how AI techniques can provide intelligent solutions to IT problems in companies and organizations.
Career Path in Artificial Intelligence
Artificial intelligence (AI) will impact the global labor market in the next few years. Therefore, the discussion will be based on legal, economic, and business issues, such as changes in the future labor market and company structures, the impact on working time, remuneration, and the working environment, new forms of employment, and the impact on labor relations. Will intelligent algorithms and production robots lead to mass unemployment? In addition to companies, employees, lawyers, and society, educational systems and legislators are also facing the task of meeting the new challenges that result from constantly advancing technology. So, to define careers in Artificial Intelligence, we have two types of careers, and they are as below:
- Academic Careers: To have an academic career in Artificial Intelligence, people usually go for Research or PhDs as it fetches them a great motivation to learn and a stage to prove their abilities in R&D departments. Prestigious programs like MIT AIML offer excellent opportunities for those aiming to excel in AI research and development.
- Professional Careers: Most people are interested in a vertically different “industry career” as it fetches them with a social and trending use case that the enterprises use for their own improvements. People in such careers are usually attaining peaks and perks. They may also work in agent-oriented software companies or companies specializing in agent intelligence techniques. Their tasks may include developing new products and applications or directing such activities. Other opportunities include consultancy or creating a start-up company in an emerging market. For a more detailed breakdown of the essential AI knowledge and education, as well as insights on AI for business leaders, you can consult the “How to Learn AI from Scratch” guide.
Job Positions
Verticals: Domains that are targeting Artificial Intelligence are mentioned below:
- Medicine: Including interpretation of medical images, diagnosis, expert systems to aid GPs, monitoring, and control in intensive care units, the design of prosthetics, and the design of drugs.
- Robotics: Including vision, motor control, learning, planning, linguistic communication, and cooperative behavior.
- Engineering: Fault diagnosis, intelligent control systems, intelligent manufacturing systems, intelligent design aids, integrated systems for sales, design, production, maintenance, expert configuration tools (e.g., ensuring sales staff don’t sell a system that won’t work.
- Information Management: This includes using AI in data mining, web crawling, email filtering, etc. For example, a company in California uses AI to help retailers mine consumer data by sifting through the ages, postcodes, and buying habits of people who buy goods over the Internet. Google is a set of applied artificial intelligence platforms which can ‘learn.’
- Space: Control of space vehicles and autonomous robots too far from Earth to be directly manipulated by humans on Earth because of transmission delays. Nasa uses AI to help plan and schedule space shuttle maintenance.
- Military Activities: This may be where most funds have been spent. It is also not easy to learn about the details.
- Marketing: AI is used to develop targeted, relevant, and timely marketing programs to increase customer attrition rates.
Some of these vertical positions may require security clearance before hire, depending on the sensitivity of information employees may be expected to handle.
Examples of specific jobs held by AI professionals include:
- Software analysts and developers.
- Computer scientists and computer engineers.
- Algorithm specialists.
- Research scientists and engineering consultants.
- Surgical technicians are working with robotic tools.
- Medical health professionals are working with artificial limbs, prosthetics, hearing aids, and vision restoration devices.
- Military and aviation electricians are working with flight simulators, drones, and armaments.
- Post-secondary professors at technical and trade schools, vocational centers, and universities.
Salary
The average salary for an “M.S. in Artificial Intelligence” ranges from approximately $77,602 per year for Research Scientist to $135,260 per year for Machine Learning Engineer.
The average salary for an “Artificial Intelligence Engineer” ranges from approximately $93,625 annually for an R&D Engineer to $135,260 for a Machine Learning Engineer.
And rest depends on the candidate and the domain they are targeting into.
Conclusion
Modern information technologies and the advent of machines powered by artificial intelligence (AI) have already strongly influenced the world of work in the 21st century. Computers, algorithms, and software simplify everyday tasks, and it is impossible to imagine how most of our life could be managed without them. However, is it impossible to imagine how most process steps could be executed without human force? If they are, will Artificial Intelligence be a short trend in the I.T. industry?
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