Career in AI

“Artificial Intelligence” – this is a term, which you probably have been hearing a lot these times. It’s not a new term anyway and has been there for decades, but the recent advancements, the research going on, and the improving technologies have supported in massive growth of this field.

For someone who thinks that AI has only come for the IT industry, they are in quite dark, because Artificial Intelligence is observing its applications in many different industries. So, with this AI boom, there are many opportunities in many different industries, if you want to have your career in AI. Almost all businesses and industries need AI engineers, to interpret their businesses, understand the market trends, build AI tools for their advantage, and fly with the AI boom in this world.

Career in AI

This article talks about some of the best opportunities working in the field of Artificial Intelligence. Please note that Artificial Intelligence is a kind of field, that is not just limited to the IT industry, but it finds applications in many other industries.

What is Artificial Intelligence?

First of all, before we move to understand careers in the field of AI, we need to understand what is Artificial Intelligence in the first place. Well, this is an optional read, so if you think you already know about AI, then you may skip this section happily, but it’s just a minute-long read, so it’s recommended to read.

So, what is Artificial Intelligence? Simply stated, Artificial Intelligence can be understood as enabling machines to perform tasks, which require human intelligence, like playing chess, driving cars, and more.

Artificial Intelligence has been there in our parts of life. For example, Netflix Movies Recommendation, Assistants like Alexa, Siri, etc. Social media apps use AI to decide what content should be shown to you, and even Google uses AI in many things. So, it’s not like AI is something new, but it’s been there in many parts of our lives already. Just the thing is that the level has been increased.

Fun Fact: AI earlier did curation, and then it moved to Creation, so I just asked ChatGPT what’s the next ‘C’ after Creation, so it answered “Collaboration”, and then it answered “Co-Existence”. You may try to do this, but I won’t guarantee the same answer in your case.

Is Artificial Intelligence a good career?

Artificial Intelligence can be not just a good, but a great career. The thing is that through all these years, it has seen tremendous growth, and it seems like tools like ChatGPT, and Midjourney have given an acceleration by showing a glimpse of what Artificial Intelligence can do. Firstly, AI could do some things that impacted not so many people, but now, with the scale that we have, AI is impacting many people in many different industries, directly or indirectly.

We might want to focus on the numbers, like the percentage of opportunities, the salaries, and all, but understand that they are all just numbers, and they may change very quickly, just a random day.

Understand that AI might be disruptive and disturbing for many industries, but it’s bringing opportunities as well, so the people, who are paying attention consciously to what’s happening in the world of AI, can ride the wave. So, here are some points why Artificial Intelligence can be a great career –

• Growing Demand
  As you might have read earlier, Artificial Intelligence isn’t just for the IT industry, but it is creating an impact in many other industries, so there is a growing demand for people who can apply their Artificial Intelligence skills to understand market trends and understand the businesses, create AI tools and leverage AI to the benefit of the business.
• Diversity of Applications
  Artificial Intelligence isn’t just limited to the IT industry but finds its applications across many industries, like healthcare, finance, research, automobile, robotics, gaming, and more. So, it means that there is an ocean of opportunities if you are earlier.
• Opportunities for Innovation
  While you are working with AI, you get a chance to innovate, rather than just to work. You would get to develop new technologies, and tools, solve complex problems, and even contribute to the growing technology.
• Higher Salaries
  It has been spotted that the people skilled with AI are offered huge salaries and attractive perks. So, being early in this field can land you a high-paying job, or maybe you can find a solution to some problem, and find your way into the business world.
• Chance to create Impact
  While working in the field of AI, you are not just working your day job, but you are working to create an impact, whether it’s in the field of healthcare, finances, education, environmental sustainability, or something else. AI can be used to improve quality of life for people and solve complex problems.

So. there are many more reasons why AI can be a great field to work in, but above we stated a few reasons. Artificial Intelligence is making things possible, that we earlier thought were impossible.

Jobs in Artificial Intelligence or Artificial Intelligence Career 

Well, you might ask that when you learn about Artificial Intelligence, what kind of jobs can you fit in? Or what roles would be suitable for you? See, within AI, there are several things that you can do, so related to that, there can be different job profiles you may work on. So, we will discuss about that.

But sometimes, these roles may overlap, like especially in startups, where you might need to do many things(or everything) related to AI in the company. But let’s get into the discussion of what roles you would find(please note that we are not ranking these roles, they are arranged in random order) –

Role	Description
Machine Learning Engineer	Designs algorithms & models for machine learning systems.
AI Engineer	Develop AI systems, integrating different technologies.
Data Scientist	Analyzes complex data to extract insights & make decisions.
Data Analyst	Examines data sets to uncover trends & provide insights.
Robotics Engineer	Designs, builds, and maintains robotic systems.
NLP Engineer	Specializes in natural language processing technology.
Computer Vision Engineer	Focuses on algorithms for visual recognition technology.
Business Intelligence Developer	Creates tools for data analysis aiding business decisions.
AI Consultant	Advises on implementing AI solutions for various domains.
AI Product Manager	Oversees development & strategy of AI-based products.

Well, you can see from the above table, we have given 10 job roles where you might be a good fit when you learn AI. Honestly, there’s even more, because there are multiple areas of industries where an AI-skilled person can work, but the above ones are some common career options in AI. Now, let’s discuss the above options one by one in quite greater detail.

Machine Learning Engineer

The name of this role says a lot about it. You might be familiar with the term Machine Learning, in which, the focus is towards making machines learn without being explicitly programmed. So, as a Machine Learning Engineer, you would need to work on different things like researching, designing, and building Artificial Intelligence, for different outcomes, like automation of tasks, maintaining AI systems, creating new and innovative AI systems, etc.

This may not be an entry-level job, but a Machine Learning Engineer is a responsible person in the whole Data Science team in the organization, working directly with the Data scientists in the company.

Machine Learning Engineers earn a handsome salary. Of course, it depends on a lot of factors, like the company you are working in, the industry, the level of work, and more, but the median salary is spotted to be around 9.5 LPA in India, and in the US, they can earn more than $100k. So, the Machine Learning Engineer profile can be a great choice for your career.

AI Engineer

As the name says, an AI Engineer is a pretty much responsible role for the company that uses AI. Basically, as an AI Engineer, one has to develop, program, and train complex algorithms, making up AI systems for the organization.

For this role, one has to have expertise in Software Development, Programming, and Data Science overall.

An AI Engineer earns a very handsome salary. Although it depends on a lot of factors, the average salary in India is around ₹ 10 LPA. On the other hand, in the US, AI Engineer earns more than $100K.

Data Scientist

If you are someone who frequently reads about things like Artificial Intelligence, you might be already familiar with this post of Data Scientist. A Data Scientist is someone skilled in collecting and analyzing large amounts of data. They analyze data, to help decision-making in the companies.

Data Scientists may be required to do some basic to advanced work. Basics like doing some basic analysis to extract some basic information, or complex as predicting some future events, or making some recommendations.

A Data Scientist job is a wide requirement because many companies require Data Scientists. Data Scientists can earn a handsome salary. Now this depends on a lot of factors, but the average salary of a Data Scientist in India is around ₹ 12 LPA, and in the US, it’s more than $100K, or even $200K.

Data Analyst

Data analysis is another very widely required job. A Data Analyst can be someone who collects and interprets the data, to solve some problem. As a Data Analyst, you need to be skilled with some Programming languages, data manipulation, and visualization tools, to solve some particular problems.

The average salary for a Data Analyst is around ₹ 6.3 LPA in India, and in the US, it is around $75K. So, if you want, you can learn the necessary skills required to become a data analyst in much less time and grab the opportunities to become a Data Analyst.

Robotics Engineer

Another Industry which is rising now is Robotics. Till now, we have been seeing and imagining robots only as a part of movies, or some assembly line, but now, they have become much more than that. You may have seen Boston Dynamics robot Atlas doing a backflip or even more than that, you may have looked at Ameca, a wonderful robot from Engineered Arts, which gives complex expressions very easily(if you haven’t yet watched them, you are missing a big thing). There are a lot of examples to give, like Optimus Bot from Tesla Motors, or Sophia, a robot from Hanson Robotics.

So, it’s clear that the robotics field is going up and up, so there can be great potential in the field of robotics.

NLP Engineer

If you haven’t heard about NLP, it stands for “Natural Language Processing”. The full form does tell some things about it. A NLP Engineer is a person who designs and builds computer programs and systems, with abilities to process, understand, and generate Natural Language. Natural Language means some languages that we speak, like English, Hindi, French, German, etc.

It’s behind why the computer understands our Natural language.

The average Salary of an NLP Engineer is around ₹ 6 LPA in India, and in the US, it is more than $100K.

Computer Vision Engineer

As the name says, a Computer Vision Engineer would have to work with the visual data. The purpose of the CV Engineer is to kind of help the computers “see” using the technologies, to solve some particular problems. This profile is also a great requirement in many different areas and has got many applications, and the applications in this field are growing.

The average salary of a Computer Vision Engineer in India is around ₹ 7 LPA, and in the US, it is more than $100K, but obviously, it depends on a lot of factors.

Business Intelligence Developer

Business Intelligence Developer is another highly required job profile, with a responsibility to develop, deploy, and for maintaining Business intelligence tools. They also are required to simplify the complex information in the business, making it understandable for everyone in the company.

The average salary of a Business Intelligence Developer is around ₹ 6.4 LPA in India, and it’s around $95K in the US. It depends on a lot of factors, so it is quite difficult to tell the exact salary.

AI Consultant

Well, just imagine an AI consultant as a person, who helps in things related to AI. Someone who is an AI consultant has to work in collaboration with Machine Learning Engineers, Data Scientists, and other professionals to build AI systems. So, an AI consultant needs to have in-depth knowledge about many different areas of Artificial Intelligence.

The average salary of an AI consultant is around ₹ 15 LPA in India, and in the US, it is around or close to $100K. It depends on various factors, so it is quite difficult to tell the exact salary.

AI Product Manager

An AI product manager, as the name suggests, would be someone who would have a wide range of responsibilities, including market research, AI product strategy, leading a team to identify market needs and create AI products for the same. The AI product manager needs to have an in-depth knowledge of Artificial intelligence.

The average salary of an AI product Manager is around or more than ₹ 20 LPA in India, and in the US, it is around or more than $150K, of course, it depends on several factors.

So, you can see, from the variety of job roles, and the handsome salaries, there is a lot of scope for a career in Artificial Intelligence.

Conclusion

Artificial Intelligence has become one of the most impactful industries, limiting not just to the IT industry, but also its applications across many different industries. Those who are just thinking that it’s just for the IT industry, are quite in the dark. You need to understand that due to AI, we can do the things that previously would have been impossible.

Now, AI is not just recommending movies on Netflix, showing you the best route on Map, or playing songs for you, but now it’s helping in writing programs, creating images, creating articles, and much much more.

So, now it’s time to upskill yourself and learn as much as you can about Artificial Intelligence so that you can not only get more job opportunities but also understand some problems and solve them.

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