Important Facts
College Vidya Team Feb 11, 2025 1K Reads
The field of artificial intelligence is taking the world of technology and industrial functioning by storm. With implications and services never seen before, artificially intelligent technologies and software are finding their place increasingly in various industries and services. As a result, the scope of career opportunities in this domain has also grown multifold.
Being a revolutionary development in the technological fields, AI as a career domain is dynamic, booming, and offers diverse exposure to professionals in this domain. Understanding this career can help you navigate the field and establish yourself as a successful AI specialist, and in this blog, we have brought together key information and industry-relevant insights about the career field of AI for you.
Artificial intelligence as a career domain has gained a lot of attention with the advent of new technologies being developed in the field and newer scopes being identified for it. Here are some of the appealing reasons for you to consider a career in AI for yourself if you are a technology professional.
The job role of an AI specialist is all about the development of AI software and technologies and enhancing their features over time. This includes all responsibilities on an end-to-end basis including the background research, the requisite data analysis, cleaning and processing, development of AI models, fine-tuning them to improve their performance, monitoring their performance and troubleshooting, and so on.
The major areas of work that an AI specialist or AI engineer can expect to perform have been enlisted below.
Technical skills form a crucial requirement for any role related to the field of AI. However, along with technical expertise, a degree of soft skills is also important to thrive in this job. Further details about some of the key skills to develop for this role are provided below.
Technical knowledge and applicable skills are important for this domain considering AI is a core technical field. As a result, a good grasp of programming languages, data management, statistics, functional domains like deep learning and NLP, etc. are crucial to working in this field. Some of the core skill areas one can hone to venture into this career are given below.
Key Skills |
Specifications |
Programming Languages |
Possessing thorough knowledge and proficiency in programming languages such as Java, R, Python, etc. |
Data Management & Processing |
Venturing into AI calls for skills of handling structured and unstructured data, data processing, data cleaning,g and knowledge of SQL and NoSQL database |
Deep Learning |
Familiarity with neural networks, deep learning architectures as well as aspects such as CNNs and RNNs for natural language processing |
Natural Language Processing (NLP) |
Familiarity with the principles and practices in NLP to actively contribute to projects related to AI chatbots, sentiment analysis, text summarisation, etc. |
Big Data Analytics |
Having skills in managing big datasets, running analytics on them, and consequently possessing knowledge of platforms like Hadoop, Spark, etc. |
Mathematics & Statistics |
Having a thorough understanding of the principles of mathematics and statistics which are core to artificial intelligence. |
AI as a domain aims to mimic human intelligence, and as a result, professionals who aim to venture into this domain should have a fairly good repertoire of soft skills, interpersonal skills, and emotional intelligence. This is also required to ensure the mindful creation of AI tools and software that do not cause negative consequences for humans. Some of the useful soft skills to possess for an AI specialist are mentioned below.
Key Skills |
Specifications |
Analytical Aptitude |
Being able to analyze complex data and information, draw patterns, and solve complex problems logically and systematically. |
Critical Thinking |
Having a critical and analytical mindset to be able to identify assumptions, make and judge arguments, and accordingly solve problems. |
Attention to Detail |
Being attentive to details, and nuances of datasets, having a knack for precision,n and avoiding errors while problem-solving. |
Emotional Intelligence |
Being able to grasp and identify human emotions, and address and regulate them in turn to be able to emulate and integrate such knowledge into AI systems for efficient system development. |
Communication Skills |
Being articulate and expressive while also maintaining a concise and comprehensible tone in expressions, verbal and oral communication, and so on. |
Adaptability |
Having a flexible approach as well as being able to mold oneself and one’s problem-solving as per the requirements of the situation |
Creativity & Innovation |
Being a novel and booming field, AI requires the professional to be exceptionally creative and innovative in one’s approach to problem-solving. |
Being considerably diverse in nature and scope, a professional trained in AI can explore several related career domains as well. The compensation in AI is among the most fairly paid ones in the technological fields since it is currently in its booming stage. The job scope and demand for AI (and related domains like machine learning, deep learning, robotics data science, etc.) are also expected to grow further in the future as the field diversifies further and stabilizes.
Enlisted below are a few of the prospective job domains that a formally trained AI specialist can explore, along with their approximate compensation as perthe latest industrial data across sources.
Career Option |
Average Salary (Per Annum) |
AI Engineer |
INR 10.11 LPA |
Natural Language Processing (NLP) Engineer |
INR 10 LPA |
Machine Learning (ML) Engineer |
INR 9.28 LPA |
Data Scientist |
INR 9.99 LPA |
Robotics Engineer |
INR 5.5 LPA |
AI Consultant |
INR 13.75 LPA |
AI Business Analyst |
INR 10 LPA |
AI Operations Specialist |
INR 10.5 LPA |
Data Engineer |
INR 9 LPA |
Being a long-term and high-stakes decision, it is important to understand the scope of a career before deciding to venture into it. Herein, we have elaborated upon the industrial trends in the field, the required investments to become an AI specialist, and the growth trajectory one can expect in the domain in the future!
1. Demand for AI Specialists: Industry Trends
Some of the prominent industrial trends that provide insights about the domain of artificial intelligence as a career have been provided below.
Thus, as can be seen, the overall statistics indicate that AI as a career field is currently seeing rapid growth, and the opportunities and scope in the field are only expected to grow further in the coming years.
2. Fees & Costs Involved in Becoming an AI Specialist
There are several undergraduate degrees and postgraduate diplomas, degrees, and certifications that one can consider taking up in artificial intelligence and relevant specializations. These courses are available in India in the regular mode, the fully online (OL) mode, and the open-distance mode (or ODL mode), allowing students from diverse financial backgrounds to seek further education in this domain. Some of the most popularly pursued UG and PG courses in the online mode available in artificial intelligence and related specializations are enlisted below along with the approximate course fee for reference.
AI Courses |
Approximate Course Fees |
INR 2,00,000 |
|
INR 3.00,000 |
|
INR 1,50,000 |
|
INR 3,50,000 |
|
INR 2,00,000 |
|
INR 1,50,000 |
|
INR 50,000 |
|
INR 2,50,000 |
|
INR 3,50,000 |
|
INR 1,50,000 |
Being a lucratively compensated field, AI jobs offer a significantly steep rise in salary packages and perks that are offered to professionals with growing experience. While a fresher may start on an average of INR 5 to INR 6 LPA, with due years of experience and upskilling, one can expect over a 5x growth in the domain. Hence, not only is the career scope of this field appealing, it is a financially reliable and safe domain to choose as well!
The career growth trajectory in terms of compensation with years of experience has been illustrated below for reference.
Being a core technical field, AI as a career domain requires the professional to come either from a science or a mathematics background. A student who has pursued science or mathematics/ statistics as a subject at the higher secondary level can then look at pursuing a relevant UG degree (e.g. BCA/B.Tech/B.Sc/B.E. etc.). After completing their Bachelor’s education, they can further focus on completing further education or conversely, start exploring job opportunities in technological companies and firms. However, it is highly important to regularly upskill oneself in this domain as it is a highly dynamic, evolving, and agile field.
The overall career navigation to practice as an AI specialist in India has been charted below.
Some of the eminent public and private-sector institutions in India that offer higher education courses in artificial intelligence have been enlisted below for reference. A number of these institutions offer UG and PG qualifications in the regular classroom mode as well as in remote modes like ODL and online mode. As duly accredited institutions from UGC-DEB for offering online courses, their online qualifications carry equivalent value and credibility as regular offline courses.
Artificial intelligence as a career domain is one of the most prospective parts of technical careers, and as it is finding increasingly more integrations in several sectors, it is now offering diverse roles and opportunities to AI specialists. With lucrative compensation, the scope for innovation, and rising industrial demand, this can be an apt career option for those in technology seeking to work in the creation of smart software and programs with futuristic scope.
On an average, in India, an AI engineer can earn upto INR 11 LPA with mid-level of experience. This figure is likely to grow further with experience.
A career in the field of artificial intelligence can be quite rewarding in terms of the exposure and scope it provides for future growth as well as the lucrativeness of the field. With the right qualifications and skillset, one can have a successful career as an AI professional.
To venture into the domain of AI, one must have a high-school educational background in mathematics or science, followed by UG degree such as a B.Tech (CS)/B.Sc (Math)/BCA (CS/AI/IT)/B.E. (CS). After completing UG education, one can start exploring AI-related job roles or conversely upskill further at the postgraduate level.
No, unfortunately, to venture into the field of AI, one must come from a science, specifically a mathematics background in the HSC level, only post which they can pursue Bachelor’s degrees such as a B.Tech or BCA or B.Sc in the relevant specialisation.
If you have studied mathematics in grade 11th & 12th with commerce stream, then you are eligible to take up a UG degree relevant to AI such as a BCA, a B.Tech. B.Sc or a B.E..
Yes, if you have pursued a UG or PG qualification in AI from a duly UGC-DEB accredited institution, then your course will be considered completely valid as UGC-DEB guidelines mandate that online courses be granted similar importance and credibility as offline courses provided they are obtained from duly accredited institutions.
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