Career in Artificial Intelligence

Introduction to Career in Artificial Intelligence

Artificial intelligence has moved from a niche / computer technology to the classic computer engineering toolbox. This has led to chaos in Silicon Valley and major computer companies such as Google, Facebook, LinkedIn and many others are investing heavily in their careers in artificial intelligence. Artificial intelligence comes with the slogan "the future is automation" and even beginners are starting to use these technologies as the market for enterprise-level products is very new. Artificial intelligence carriers are expected to make new advances in IT in areas such as automation, D-Ops platforms, Internet chat and robotics. A career in artificial intelligence is a fast and difficult field that is making significant strides in our daily lives.

Training required for a career in artificial intelligence

Due to the large number of multifaceted auxiliary alternatives emerging due to AI and machines, the requirements of future graduates will change. In practice, there will be no need for employees who perform simple and / or repetitive tasks. Already, the number of factory workers is steadily declining and man is rapidly becoming a machine control mechanism. The automotive industry, where many stages of production are already fully automated, is at the forefront. So for the same thing, basic education has to be considered.

Career in Artificial Intelligence Ltd. 

• You must have at least a CS degree and solid programming principles.
• You need to have a solid understanding of the logical, philosophical and scientific foundations of artificial intelligence research.
• You should have a general overview of key AI techniques and a thorough understanding of how to use these techniques in at least one area of ​​multi-agent systems, reasoning or cognitive processing.

In addition, you should have the skills to conduct AI research in education or R&D environments and to identify how AI techniques can provide intelligent solutions to IT problems in businesses and organizations.

Career path in artificial intelligence

Artificial Intelligence (AI) will have a major impact on the global job market in the next few years. Therefore, the discussion will focus on legal, economic and trade issues, such as the evolution of the future labor market and business structure, working hours, compensation and the impact on the working environment. Impact on work, new forms of employment and labor relations. Have smart algorithms and production robots led to mass unemployment? In addition to businesses, employees, lawyers and society, the education system and legislators also face new challenges posed by the constant evolution of technology. Therefore, to define a career in artificial intelligence, we have two types of careers and they are as follows:

• Educational Careers: For an academic career in artificial intelligence, people usually go for research or a doctorate because it gives them a great incentive to learn and to prove their abilities in the R&D department. Provide a stage.
• Professional careers: Achieving a vertically different "industry career" attracts more interest from people as it retrieves them from the social and modern use case used by companies for their own betterment. People with such careers usually reach heights and benefits. They may also find employment in agent-based software companies or in companies that specialize in the use of agents' intelligence techniques. Their tasks may include developing new products and applications or directing such activities. Other potential opportunities include consulting in emerging markets or building startups.

Personal work places

Vertical lines: The areas that target artificial intelligence are mentioned below.

• Medicine: Interpretation of medical images, diagnosis, expertise system to assist the GPS, control in care and intensive care units, design of synthetic products, including design of drugs.
• Robotics: including vision, motor control, learning, planning, linguistic communication, cooperative behavior.
• Engineering: fault diagnosis, intelligent control system, intelligent manufacturing system, intelligent design aids, integrated systems for sales, design, production, maintenance, specialized training tools (such as sales personnel 'ensures that these systems are not sold). it will not work.
• Information management: this includes the use of AI in data mining, web browsing, email filtering, etc. For example, a company in California uses AI to help retailers listen to consumer data by purchasing age, postal codes, and consumer habits. Who buys goods on the Internet. Google is a set of applicable artificial intelligence platforms that are capable of "learning".
• Space: Control of spacecraft and autonomous robots is too far from Earth to be connected directly to Earth by humans, due to transmission delays. NASA uses AI to plan and plan for the maintenance of the space shuttle.
• Military activities: this may be the area where most of the funds have been spent. It is not easy to know the details.
• Marketing: AI is used to develop more targeted, relevant and timely marketing programs to increase customer traffic.

Some of these vertical positions may require security clearance before the information depends on the sensitivity of the employees. Examples of specific jobs held by AI professionals:

• Software analysts and developers.
• Computer scientist and computer engineer.
• Experts in algorithms.
• Researchers and engineering consultants.
• Surgical technicians working with robotic tools.
• Health professionals work with artificial limbs, artificial products, hearing aids and visual restoration devices.
• Work with military and aeronautical electricians, flight simulators, drones and weapons manufacturers.
• Post-secondary teachers in technical and business schools, vocational training centers and universities.

Salary

The average salary for “M.S. In artificial intelligence, the number of machine learning engineers for researchers varies from approximately 77,602 to 5,135,260 per year.

The average salary of an "artificial intelligence engineer" varies from around 93,625 per year for a machine learning engineer to 13,513,560 for an R&D engineer.

And the rest depends on the candidate and the target area.