Artificial Intelligence Careers
Artificial Intelligence has turned from a niche technology/computational area into a mainstream computer science engineering toolkit. It has caused chaos in Silicon Valley and large IT companies like Google, Facebook and LinkedIn are investing heavily in Artificial Intelligence Careers. Artificial Intelligence is described as “The Future is Automation” and new entrants are also exploring these technologies, which is a new market for enterprise-level software. Careers in Artificial Intelligence are expected to be the core of IT innovations in areas such as automation, DevOps platforms and the Internet Chabot. Artificial Intelligence careers are a challenging and fast-paced field that is making an impact on our daily lives.
For careers in Artificial Intelligence, you will need to have a degree.
Future grads will need to be aware of the many multidisciplinary support options that AI and machines are creating. Workers who perform repetitive and/or simple tasks will not be needed. The number of factory workers is decreasing every day, and humans are becoming more of a control mechanism for the machine. This is a pioneering industry. The automotive industry has many of its production steps already automated. Basic education must be considered for the same.
- A CS degree is required in order to pursue a career as an Artificial Intelligence professional. You should also have solid programming skills.
- It is important to have a good understanding of the cognitive, philosophical, and logical foundations of Artificial Intelligence research.
A good understanding of the major AI techniques is essential. You also need to be able to apply them in at least one area of multi-agent systems: reasoning or cognitive processing.
You should also be able to conduct AI research in academic and R&D environments, and to identify ways AI technologies can solve IT problems in organizations and companies.
Career Path in Artificial Intelligence
In the coming years, artificial intelligence (AI), will have a profound impact on the global labor markets. The discussion will focus on legal, economic and business issues such as changes to the future labor market, company structures, impact of working time, remuneration, and working environment, new employment forms, and the impact labor relations. Are intelligent algorithms and production robots causing mass unemployment? Companies, employees, lawyers, society, and educational systems all have to meet the challenges posed by constantly evolving technology. There are two kinds of careers in Artificial Intelligence.
Academic Careers in Artificial Intelligence: Many people choose to pursue research or PhDs in order to have an academic career. This gives them motivation to learn, and allows them to show their skills in R&D departments.
Careers in the Professional Sector: This is the career most people want to pursue because it provides them with a socially and trending use case that can be used by enterprises for their own improvement. These careers often offer a lot of perks and high peaks. These people may find work in software companies that specialize in using agent intelligence techniques or in company that are agent-oriented. They may be responsible for developing and directing new applications and products. There are also opportunities to consult or start-up a company in an emerging market.
Positions in the Job Market
Verticals – Domains that target Artificial Intelligence are listed below.
Medicine includes interpretation of medical images, diagnosis and expert systems to assist GPs.
Robotics – includes vision, motor control and learning.
Engineering: fault diagnosis, intelligent control systems, intelligent manufacturing systems, intelligent design aids, integrated systems for sales, design, production, maintenance, expert configuration tools (e.g. Sales staff must ensure that they don’t sell systems that don’t work.
Information Management This includes AI in data mining and web crawling, email filtering, and other related activities. A company in California, for example, uses AI to help them find consumer data. This involves looking through the buying habits, ages, and postcodes of those who purchase goods online. Google is one of many artificial intelligence platforms that can ‘learn.
Space: Control of autonomous robots and space vehicles too far away from Earth to be controlled by humans. Nasa uses AI for space shuttle maintenance planning and scheduling.
Military Activities This may be the most expensive area where funds have been spent. It can also be difficult to find out all the details.
Marketing: Artificial Intelligence is used to create more relevant and targeted marketing programs that increase customer attrition.
Some vertical positions may require security clearance before hiring, depending on how sensitive information employees might be expected to handle. These are some examples of jobs held by AI professionals:
- Software developers and analysts.
- Computer scientists and computer engineers.
- Algorithm specialists.
- Engineer consultants and research scientists.
- Robotic tools are used by surgeons.
- Prosthetics, prosthetics, hearing aids and vision restoration devices are all used by medical professionals in the health profession.
- Aviation electricians and military personnel working with drones and armaments.
- Professors of post-secondary education at vocational centers, technical and trade schools, universities, and other institutions.
An “M.S.” salary is the average. The average salary for an “M.S.” in Artificial Intelligence is approximately $77,602 per Year for Research Scientists and $135,260 for Machine Learning Engineers.
An “Artificial Intelligence engineer” earns an average salary of approximately $93,625 per annum for a R&D Engineer and $135,260 for a Machine Learning Engineer.