B.Tech AI & ML Future Demand & Job Opportunities

Artificial Intelligence (AI) holds the promise to provide the most disruptive and significant innovations of the century. Robotic assistants, self-driving cars, and automated diagnosis of disease are the things that will define how we will work and live in future. The demand for experienced and qualified engineers will be increasing by leaps and bounds, and the opportunities that are there for professionals are limitless who have the requisite competency. Various types of new jobs will also open up for people as AI & ML spreads its wings. Efficiency of many sectors will improve thanks to the new wave of inputs that will be brought in by AI, which will ultimately result in the creation of high profile jobs.

The efficiency and progress in most companies will improve with the advent of artificial intelligence and machine learning. The rewards for making a career in artificial intelligence are much more than the time and energy that are invested by the students, as this field has high learning curve. A bachelor degree in artificial and machine learning is usually required to succeed for this field, or a degree in related disciplines such as mathematics. If one wants to move to a senior position that a masters of Ph.D. degree will also be required, but for many of the large conglomerates such as Apple and Google do not ask for college degree. The initial break in the job will be provided with a formal education.

A student who wants to make a career in the field of artificial intelligence and machine learning, confidence, curiosity and perseverance are some of the traits that a person needs to have, according to Dan Ayoub, who works as a general manager for mixed reality education at Microsoft. Ayoub is a well known AI professional and shared his expertise on the matter, and in his words – different careers have come up with the passage of time, and artificial intelligence is still in its mushrooming stage, this means one will have to structure their own career path and become creative. Standards for this field are still being set and so does the course curriculum that prepares professionals for this field.

People across the globe are moving towards learning new skills in the field of artificial intelligence and machine learning as demand for professionals in this field is increasing. It has been predicted that our lives will be impacted and transformed in ways that is difficult to think of at the moment. The way we communicate, shop, perform, travel and how we do our business in our daily routine will be changed by AI & ML. May students who want to make a career in this field may be confused whether it will be lucrative or not? In a report that will be released by PrizewaterhouseCoopers (PwC) nearly one third of the professionals in this field are worried about the demand in AI / ML in the next five years.

It has been feared that the advent of AI & ML will result in displacement of workforce on a large scale which will ultimately result in mass-scale unemployment of workforce. Subsiding this fear, a leading research and advisory company, Gartner has stated that more than 2.3 million jobs will be created by the turn of the decade thanks to AI & ML. There will be high demand for AI professionals as almost every company in the IT company will be implementing this prospect. This is the right time to move into this field for anyone who is interested to make a career here, after few years of experience things will become easy for a new professional to understand.

What is Artificial Intelligence and Machine Learning?

Before we take a look as to what is machine learning, one needs to be aware of the exact way in which Artificial Intelligence is defined. Formed of two words – “artificial” and “intelligence”, the term clearly signifies something that is not natural which in this case is intelligence which refers to the ability to think and understand with interference from human. One should not take AI as a system, but it is something that is being implemented in a system that has the capabilities similar to that of human. These machines have the capability to learn on their own without the need to be programmed again and again, this is done by integrating input and output of that program.

On the other hand, Machine Learning is the learning process that helps a machine to learn on its own without being explicitly programmed. ML is an application of AI that enables a mechanical system to learn automatically and improve from experience. Here we can generate a program by integrating input and output of that program.

AI and ML concepts have been around for decades, but it is only recently, that huge volumes of data that are gathered from distributed sources, which was not possible in the past, is making a difference to this concept.

Artificial Intelligence & Machine Learning: Future Prospects

A recent report of IT firm Accenture stated that the AI has the potential to add nearly $957 Billion to the Indian economy by changing the nature of work and creating better outcomes for businesses. The report called ‘Rewire for Growth’ predicts that AI intervention could increase India’s annual growth rate of gross value added (GVA) by 1.3 % points, thus lifting the country’s income by 15% in 2035.

Moreover, the growth is not limited to AI only. Research from MarketsandMarkets depicts that the growth in machine learning market size will be USD 8.81 Billion by 2022.

As there are lots of opportunities in this field, this the right time to upskill in the Machine Learning to gab any of the following job roles.

Machine Learning: Job Roles

Let us take a sneak peek into some of the ML job roles in demand. Machine Learning Jobs for freshers may include the job of a software engineer, data analyst or data scientist.

Machine Learning Engineer:

Machine learning engineer is responsible for designing and implementing machine learning algorithms.

Data Scientist: A Data Scientist collects, analyzes, and interprets large amounts of unstructured data using Machine Learning and predictive analysis to derive insight and help design future strategies.

Data Analyst:

A Data analyst first acquires information about a specific topic, then interprets and analyze it, and at last present the findings in the form of comprehensive reports.

Data Architect:

Data Architects develop, construct, test, and maintain highly scalable data management systems using Machine Learning algorithms.

Machine Learning: Average Salaries

Salary packages of Machine Learning Professionals depend on their qualifications, job roles, job profiles, and years of experience. The annual package of a fresher usually lies between 6 lakh to 9 lakh per annum (as per Payscale.com). The table below consists of the average salary packages offered to different job roles of a Machine Learning Professional (as per Payscale.com).