How to Become an Artificial Intelligence (AI) Engineer in India? | Salary, Skill Set and Eligibility

How to Become an Artificial Intelligence (AI) Engineer in India?: The IT industry is one field where you have to keep yourself updated with the new technologies if you wish to have a successful career. The most hyped-up technology in IT today is Artificial Intelligence. Machine learning and Artificial Intelligence have seen tremendous growth in the past few years.

The IT industry has a high demand for a well-trained and qualified Artificial Intelligence Engineer. Apart from it, several other sectors have also started developing Artificial Intelligence programs for gaining better results.

Refer to Course Details to know more about related courses and find details like Admission Process, Eligibility Criteria, etc.

Topmost companies like Apple, Amazon, Google, Facebook invest a considerable sum of money in Artificial Intelligence and Machine learning every year. This has led to an increase in demand for a highly qualified artificial intelligence engineer in India, and many IT professionals are considering becoming one.

What Is Artificial Intelligence?

Artificial Intelligence is a field in IT about developing machines and software with techniques that allow a device to imitate an intelligence similar to humans. A machine with AI will be able to recognize patterns and make a decision based on the pattern.

Who is an Artificial Intelligence Engineer?

AI or Artificial Intelligence Engineers are engineers who work in the field of AI. They are responsible for researching, creating, testing, and implementing AI models. They are also responsible for handling AI infrastructure.

How To Become An Artificial Intelligence AI Engineer In India?

You have to fulfill specific criteria if you wish to be an artificial intelligence engineer in India.

Eligibility Criteria for Artificial Intelligence

To be eligible for becoming an artificial intelligence engineer, they would need to have a fundamental educational background that aligns with the requirements of the Artificial Intelligence field.

Educational Qualification

The first step to becoming an artificial intelligence engineer would be getting a bachelor’s degree. You can get a bachelor’s or an undergraduate degree in any of the following streams.

  • Information Technology
  • Computer Science
  • Data Science
  • Statistics
  • Economics
  • Mathematics
  • Finance

If you wish, having a Master’s or postgraduate degree in the courses mentioned above would also be beneficial.

Other than that, there are several different certification courses like Machine Learning and Data Science offered by many online classroom programs that you can do to enhance your knowledge.

Technical Knowledge Requirement

Once you have the essential educational qualification for becoming an artificial intelligence engineer, you need to move on to the next step. The next step in becoming an Artificial Intelligence engineer would be to enhance your technical skills. Now the technical skills mentioned here are not just related to programming. To be an artificial intelligence engineer, you would need to have a good grasp of developing softwares.

To become an Artificial Intelligence Engineer, everyone needs to possess excellent knowledge of the following, not just in theory but also in practicality.

  • Machine Learning
  • Software Development Life Cycle
  • Design Patterns
  • Modularity, OOPS, Classes
  • Deep Learning & Neural Networks
  • Statistics and Mathematics
  • Electronics, Robotics, and Instrumentation (Not mandatory but beneficial)

Technical Skills to Become an Artificial Intelligence

As we have seen earlier, to become an artificial intelligence engineer, you must possess several technical skills. Let’s have a look at what those skills are.

Programming Languages

If you have been working as a programmer, then that would come in handy for you in your path of becoming an Artificial intelligence engineer. However, just knowing anyone or two programming language won’t be enough. You need to know some of these programming languages, which are essential for artificial intelligence.

  • C++
  • Python
  • JavaScript
  • Java
  • Julia
  • C#
  • Lisp
  • Shell
  • R
  • TypeScript
  • Scala
  • Prolog

The list of the programming languages that you need to learn for AI can be very extensive. However, you can start with a programming language that you find best suitable for you at the time and then move on to the others as time progresses.

Python is a great programming language to get you started with artificial intelligence because it is simple, has an extensive library, has clear syntax, and is versatile.

Linear Algebra/Calculus/Statistics

Consider mathematics as the backbone for artificial intelligence. Algorithms are the backbone of any artificial intelligence program. And, any algorithm depends mainly on statistics. Having a good grasp of calculus, probability, algebra, and statistics ultimately leads to a better understanding of Artificial Intelligence.

It would help if you had an understanding of vectors, matrices, and matrix multiplication. To better work, your Artificial intelligence program, knowing integrals and derivatives and integrals would help.

Familiarity with standard distributions, Gaussian distributions, and means of data sets is necessary for Artificial intelligence. The knowledge of probability will help you understand these models better.

  • Gaussian Mixture Models
  • Naive Bayes
  • Hidden Markov Models

Applied Mathematics and Algorithms

Another essential skill to have would be having a better understanding of applied mathematics and algorithms.

Algorithms are essential if you want to build a model in artificial intelligence or even use an existing model. And to have a better understanding of the concept and how an algorithm works, you would need to have a good knowledge of applied mathematics.

If you have been in front-end software development, all this mathematics will be intimidating for you. But with time, you will have a better understanding of how mathematics helps artificial intelligence and machine learning flourish. Having a grasp of these mathematical concepts would be beneficial for you.

  • Lagrange
  • Quadratic programming
  • Gradient descent
  • Partial differential equations
  • Convex Optimization
  • Summations

Natural Language, Audio and Video Processing

NLP or Natural Language Processing is a part of artificial intelligence that deals with machines understanding the human language. NLP is the one that facilitates a computer to be able to know how a human communicates. It works by combining linguistics, information engineering, computer science, and AI to analyze the structure of sentences and the meaning behind each word. Then, it uses an algorithm to make sense of the instruction and deliver the results.

An artificial intelligence engineer has to work on NLP, and for that, you would need to know some of the NLP libraries. Most of the work on NLP involves processing audio, video, and language by using some of these NLP tools and libraries.

  • NLTK
  • CoreNLP
  • Sentiment Analytics
  • TextBlob
  • Gensim
  • PyNLPI

Neural Network Architectures

Even though the basic concept of artificial intelligence is to replicate the thinking and problem-solving capability of a human brain, some of the tasks are too complex and difficult for coding that it is impossible for a human being to do that. This is where a neural network comes in.

Neural networks are a field of artificial intelligence modeled after the human brain and have similar functioning. Neural networks help solve some of the most complicated problems like facial recognition, pattern recognition, handwriting recognition, translation, and image classification. All of these hold significant importance in the field of Artificial Intelligence.

Business Skills Requirement for Artificial Intelligence

Having business skills is beneficial for artificial intelligence and will help you in any area that you choose for your career. It would be great if you had an excellent grasp of the following skills.

  • Industry Knowledge: It is necessary to know the industry you are working for and what will help increase your business.
  • Analytic Problem-Solving:As an AI engineer, you should analyze the data to solve a problem.
  • Creative Thinking: Thinking creatively to find solutions for any problems should be an AI engineer’s skill.
  • Effective Communication: Being an AI engineer, understanding the concept of artificial intelligence and machine learning is easier for you, but you should make others understand the same who have no prior knowledge of AI.

Now, if you already know these skills, then you are all set. But if you don’t, then there are a lot of ways you can learn these. You can practice and learn these skills on your own, or a better option would be to get a master’s degree.

With the field of artificial intelligence being new, a lot of research is happening, leading to discoveries. It would be very beneficial if you opt for a master’s degree. For master’s, you can consider machine learning or data science as your subjects.

If you don’t wish to do a master’s program but still want to gain these skills, there are many industry certification courses available in data science, deep learning, or machine learning that you can take. Not only will you gain in-depth theoretical and practical knowledge on the subject, but these certification courses add a lot of value to your profile and give you an upper hand while getting a job.

Work Responsibility Of An Artificial Intelligence AI Engineer

There are various roles and responsibilities an artificial intelligence engineer has to perform based on their experience and knowledge.

  • AI Engineer researches, transform, and implements a prototype of data science.
  • Researching, creating, and implementing suitable machine learning algorithms.
  • Discovering the correct artificial intelligence tools.
  • Researching and developing the procedures for modern software development.
  • Developing applications of machine learning as needed.
  • Working with a robotic team and electrical engineers.
  • Selecting the correct data representation models and datasets.
  • Testing of machine learning and artificial intelligence.
  • Modifying and training the system as needed.
  • Updating themselves to all the latest developments in the field of artificial intelligence.

How to Become an Artificial Intelligence (AI) Engineer in India

Salary Of An Artificial Intelligence Engineer

Becoming an artificial intelligence engineer requires a lot of hard work and studying. The field of artificial intelligence, seeing substantial growth, has created a massive demand for qualified artificial intelligence engineers. Both these facts are responsible for making the job of an AI engineer a high-paid job. On average, an artificial intelligence engineer can earn anywhere between 7 to 8 lakh rupees per annum. For an experienced AI engineer, this salary can easily cross 10 lakh per annum.


Artificial Intelligence is a sector in the industry that is in its starting phase. If you fulfill the criteria to become an artificial intelligence engineer, then now is the right time to get started with your journey. This field has a lot of scope for development, and the excellent salary package is an added benefit.

Leave a Comment