How To Make A Career In Artificial Intelligence: Jobs In AI, Career Growth & Skills Required

Artificial Intelligence (AI) is all around us.

Talk about AI usurping the jobs of many are often heard, leaving one perplexed.

But as in all jobs today, upskilling is crucial. To not get left behind in the AI revolution, it is thus crucial for one to learn new skills.

What is Artificial Intelligence, exactly?

Artificial intelligence involves the use of computers and machines to mimic the problem-solving and decision-making capabilities of the human mind.

AI is a branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence.

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In simpler words, Artificial intelligence (AI) is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with humans.

What are the jobs in the Artificial Intelligence sector like?

Some of the common jobs in Artificial Intelligence are:

1. Artificial intelligence (AI) engineer

An Artificial intelligence (AI) engineer uses AI and machine learning techniques to develop applications and systems that help organisations become more efficient.

AI Engineers need to have an understanding of programming, software engineering, and data science.

2. Machine Learning engineer

A Machine Learning engineer is a person in IT who focuses on researching, building and designing self-running artificial intelligence (AI) systems.

They run experiments and tests, perform statistical analyses, and develop machine learning systems, as stated by a Coursera report.

3. Data engineer

Data engineers collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret.

Data engineers focus on making data accessible so that organisations can use it for evaluation.

4. Data scientist

A data scientist uses the data provided by a data engineer to help drive decision-making and extracts meaningful insights for business.

Data scientists need to have knowledge of statistics, scientific computing, scientific methods, processes and algorithms.

5. Robotics engineer

A Robotics engineer designs and builds robots and robotic platforms.

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They design robotic prototypes, test robotic systems and monitor their performance.

5. Software engineer

A software engineers applies engineering principles and knowledge of programming languages to build software solutions.

Software engineering is a branch of computer science that deals with the design, development, testing, and maintenance of software.

What do I need to learn to make a career in Artificial Intelligence?

For a career in Artificial Intelligence, these are the pre-requisites:

1. Strong foundation in Mathematics and Statistics

An AI professional needs to have an interest and knowledge of Mathematics, Statistics and Probability.

While statistical skills are required to understand complex algorithms and identify patterns, mathematical skills are required to ensure the smooth functioning of AI and ML models.

2. Progamming skills

For a career in AI, you have to be well-versed in various programming languages such as Python, Java, R, C++, etc.

A programming language is a system of notation for writing computer programs. In simpler words, it is a computer language that is used by programmers (developers) to communicate with computers.

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A programming language is mainly used to develop desktop applications, websites, and mobile applications.

3. Machine Learning algorithms

Machine learning is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can effectively generalise and thus perform tasks without explicit instructions.

How can I prepare for a career in Artificial Intelligence?

All these skills required for a career in AI can be learnt through a bachelor¡¯s degree or higher.

Often, AI professionals obtain undergraduate degrees in computer science, mathematics, or a related field.

Further, one can enroll in professional courses to learn the specific technical skills.

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