Artificial Intelligence (AI) as a Career
The Artificial Intelligence (AI) powers the computers and machines to solve problems like human mind does. According to John McCarthy “It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable." Over the years, the AI has gone through many rounds of publicity, but even to those who doubted, the release of OpenAI’s ChatGPT appears to mark a turning point. The applications of artificial intelligence are growing rapidly. By 2030, AI could contribute up to $15.7 trillion to the global economy.
Types of Artificial Intelligence
Weak AI: Also Artificial Narrow Intelligence (ANI) or simply Narrow AI is the AI that is skilled to accomplish specific tasks. Most of the AI that surrounds us today is the example of Weak AI.
Strong AI: The Strong AI is made up of Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI). Artificial general intelligence (AGI) also called as General AI, is a theoretical form of AI where a machine would have an intelligence equaled to humans. The Artificial Super Intelligence (ASI)—also called as superintelligence—would outshine the intelligence and ability of the human brain.
The Strong AI is still theoretical; there are no practical examples in use today, but AI researchers are working on its development. The best examples of ASI might be from science fiction, for example; the superhuman, and rogue computer assistant in 2001- A Space Odyssey, etc.
Applications of AI
The AI has many applications in Real world. Some of the most common are:
- Speech recognition
- Customer service
- Computer vision
- Recommendation Engines
- Automated stock trading
Benefits of AI
- Reduce human error
- Eliminate repetitive tasks
AI Engineers Qualification/Eligibility
To become AI Engineer bachelor’s degree in subject like Computer Science, Information Technology, Data Science, Mathematics and Statistics is required. Further candidates can pursue Master’s degree programme in a related discipline. Knowledge in data science, deep learning, and machine learning may help you get a job offer.
AI Engineering Job Titles
Some of the common AI job titles are:
- Artificial Intelligence (AI) Engineer
- Machine Learning Engineer
- Data Engineer
- Robotics Engineer
- Software Engineer
- Data Scientist
AI Engineer Responsibilities
The use of AI is growing in every field and hence the requirements for skilled AI Engineers. Some specific responsibilities of an AI Engineer are:
- Create and manage the AI development and production infrastructure.
- Conduct statistical analysis and interpret the results to guide and optimize the organization’s decision-making process.
- Automate AI infrastructures for the data science team.
- Build AI models help product managers and others with analysis and implementation.
- Transform machine learning models into APIs that can be integrated with other applications.
- Work together with different teams to help with AI adoption and best practices.
AI Engineers Skills
The AI Engineers should be competent in computers, information technology, mathematics & statics etc. Following skills are required to become AI Engineer:
Programming: Knowledge and skill in computer programming languages such as Python, R, Java, and C etc.
Probability, statistics, and linear algebra: These are required to implement different AI and machine learning models.
Big data technologies: AI engineers work with large amounts of data. You should be efficient working with technologies like Apache Spark, Hadoop, and MongoDB to manage it all.
Algorithms and frameworks: Understanding of machine machine learning algorithms and deep learning algorithms and ability to implement them with a framework, for example; Theano, TensorFlow, Caffe, Keras, and PyTorch.
AI Engineers Job Prospects
The AI Engineering is a promising career option today. Opportunities are limitless for qualified AI Engineers. There is a projected job growth of 23% between 2022 and 2032 in USA alone. In the United States the average salary of AI Engineer is $136,620, according to the US Bureau of Labor Statistics (BLS).