Careers in Artificial Intelligence – Introduction
Artificial Intelligence has turned from a niche technology/computational area into a mainstream computer science engineering toolkit. It has generated a chaos in Silicon Valley and big IT giants like Google, Facebook, LinkedIn and many others are heavily investing for Careers in Artificial Intelligence. Artificial Intelligence goes with a tagline “The Future is Automation” and the newbies are also starting up with these technologies as a market is very new for enterprise level stuff. It is expected that Careers in Artificial Intelligence will be at the heart of new IT developments in areas like automation, DevOps platforms, the Internet Chabot, and robotics. Careers in Artificial Intelligence is a fast-paced and challenging field that is making visible inroads into our everyday life.
Education
Owing to the great number of emerging multidisciplinary support alternatives due to AI and machines, the requirements for future grads will change. There will be hardly any need for employees who do simple and/or 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, where many production steps are already fully automated, is the pioneer in this respect. So, basic education is to be taken into consideration for the same.
- To have a career in Artificial Intelligence you should have at least a CS degree and solid programming fundamentals.
- You should have a solid understanding of the logical, philosophical, and cognitive foundations of Artificial Intelligence research.
- You should have a good overview of the main 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 carry out AI research in academic or R&D environments and to identify how AI techniques can provide intelligent solutions to IT problems in companies and organizations.
Career Path in Artificial intelligence
Artificial intelligence (AI) will have a fundamental impact on 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 in company structures, impact on working time, remuneration and on 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.
Professional Careers: To have a vertically different “industry career” is the most of people are interested into as it fetches them with a social and trending use case which are used by the enterprises for their own improvements. People in such careers are usually attaining peaks and perks. They may also find employment in agent-oriented software companies or companies specializing in the use of agent intelligence techniques. Their tasks may consist of developing new products and applications or directing such activities. Other possible opportunities include consultancy or creating a start-up company in an emerging market.
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Job Positions
Verticals: Domains which 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, a design of drugs.
- Robotics: including vision, motor control, learning, planning, linguistic communication, 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 the use of AI in data mining, web crawling, email filtering, etc. For example, a company in California uses AI to help retailers mine for 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 are able to ‘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 the area in which most funds have been spent. It is also not easy to learn about the details.
- Marketing: AI is being used to develop more targeted, relevant, and timely marketing programmes to increase customer attrition rates.
Some of these vertical positions may require security clearance prior to hiring 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 working with robotic tools.
Medical health professionals working with artificial limbs, prosthetics, hearing aids and vision restoration devices.
Military and aviation electricians working with flight simulators, drones, and armaments.
Post-secondary professors at technical and trade schools, vocational centers, and universities.
Salary
The average salary for “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 “Artificial Intelligence Engineer” ranges from approximately $93,625 per year for R&D Engineer to $135,260 per year for Machine Learning Engineer.
And rest depends on the candidate and the domain he/she is 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 also impossible to imagine how most process steps could be managed without human force, if they are then Artificial Intelligence will be a sure short trend in I.T. industry?
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