The two-year postgraduate program M.Tech Artificial Intelligence also referred to as MTech AI, is divided into four semesters. In this course, students will learn the science and engineering behind making computers capable of carrying out activities that often need human intelligence. You can learn the fundamentals of Data Science and AI by getting an M.Tech in Artificial Intelligence & Machine Learning. Learn Python, SQL, Machine Learning, Data Wrangling, Big Data Engineering, and other topics in depth. With a focus on assisting you in mastering all the necessary tools and approaches, this M.Tech for working professional’s degree program is in sync with the current Data Science, Artificial Intelligence, and Machine Learning market.

If you want to pursue a career in MTech in artificial intelligence, then read on as we give you an idea of what a career in Artificial Intelligence looks like.

Is M.Tech in Artificial Intelligence a Good Career?

In today’s developing world, M.Tech AI jobs in India are highly sought after and offer fantastic work prospects. Any student may be put in the M.Tech AI Course placements after completing the course. Other than that, both the public and commercial sectors provide various employment options. Since there are almost as many job postings as students, so everyone can find a job. A wide number of occupations are accessible based on their skills, making it possible for even recent graduates to find employment of their choosing and showcasing the high job scope.

Still wondering, is artificial intelligence a good career choice? Read below to know more!

Scope of M.Tech in Artificial Intelligence in India

Although India’s future is incredibly promising, it is still in its formative years. The field of AI is vast. In the future, there will be a significant demand for highly experienced AI developers because these fields are already selling like hotcakes on the market.

Data analytics, machine learning, image processing, document processing, and natural language processing are just a few of the many applications of artificial intelligence. The majority of these are interdisciplinary and need a lot of dedication and work to master.

Top 7 Career Opportunities after M.Tech in Artificial Intelligence

Despite being a new and specialized profession, careers in artificial intelligence are unique. There are numerous types of professions within AI that requires specialized experience and skills. Here is our list of the top artificial intelligence career paths to follow!

(Please keep in mind that the careers are listed in random order.)

1. Machine Learning Engineer

Machine learning engineers work at the crossroads of software development and data research. Machine learning engineers are equipped with applications, language analysis, statistics, arithmetic, and other skills. Engineers are involved in the construction and management of self-operating software that encourages machine learning projects.

Companies are always seeking out Machine Learning Engineers as these positions are rarely available. They deal with massive amounts of data to construct production-ready scalable data science models by leveraging big data technologies and programming frameworks.

2. Data Scientist

Machine learning and artificial intelligence are critical components of data science, where insight-generating methodologies such as regression, predictive analysis, and others are used.

They extract knowledge from data and uncover significant patterns using various technological tools, procedures, and algorithms. This can range from as simple as spotting anomalies in time-series data to as complicated as predicting future events and offering recommendations.

3. Big Data Engineer/Architect

Big data engineers and architects create ecosystems that allow diverse business sectors and technology to communicate efficiently. This profession can feel more extensive than data scientists because big data engineers and architects are often entrusted with planning, creating, and developing big data environments on Hadoop and Spark platforms.

To pursue a profession in artificial intelligence, you’ll need to study programming languages such as Python, R, and Java.

4. Robotics Scientist

Big data engineers and architects create ecosystems that allow diverse business sectors and technology to efficiently communicate. This profession can feel more extensive than data scientists because big data engineers and architects are often entrusted with planning, creating, and developing big data environments on Hadoop and Spark platforms.

To pursue a profession in artificial intelligence, you’ll need to study programming languages such as Python, R, and Java.

5. AI Data Analyst

When industrial robots initially gained prominence in the 1950s, the robotics engineer was one of the first AI vocations. Robotics has progressed from assembly lines to teaching English. Robot-assisted procedures are used in healthcare. Humanoid robots are being developed to serve as personal helpers.

Job losses will occur as a result of the emergence of robotics in the field of AI. In turn, employment will be created as big industries continue to rely on robotics scientists to program their devices. The robots will aid in the effective completion of particular duties.

6. Product Manager

A product manager’s role in the field of artificial intelligence is to tackle difficult challenges by systematically collecting data. You should be capable of detecting pertinent issues that impede business operations. The next stage is to obtain similar data sets to aid with data interpretation.

Following data interpretation, the product manager must assess the business effects of the data interpretation results. Every firm needs a product manager whose demand has surged in recent years.

7. NLP Engineer

Natural Language Processing (NLP) engineers are artificial intelligence (AI) specialists who specialize in human language, including both spoken and written information. NLP technology is used by engineers who work on voice assistants, speech recognition, and document processing, and so on. Organizations expect an NLP engineer to have a specialized degree in computational linguistics. They may also be open to candidates with degrees in computer science, mathematics, or statistics. 

Top Recruiters for Artificial Intelligence Graduates

A career in artificial intelligence in India is on the rise as recruiters are looking for talented candidates in machine learning engineering, robotic science, data science, research analysis, business intelligence developers, and other fields.

The companies that hire AI professionals are listed below.

• Apple
• Facebook
• Infosys
• Deloitte
• LinkedIn
• Accenture
• Myntra

To Conclude

There is an increasing demand for artificial intelligence workers. We are developing algorithms to automate business services and intelligence. The development of self-driving automobiles and service robots is posing new commercial problems.

As a result, there is a high demand for exceptional individuals who can use AI applications to alter the world. AI applications apply to all industries, not just the automotive/service business.

RACE’s PG Diploma/M. Tech/M.Sc in Artificial Intelligence diploma offers an unmistakable shift in the technological world. Our complete learning method enables participants to take on challenging tasks in the Artificial Intelligence area by mastering the domains of Artificial Intelligence, Data Science, Business Analytics, Business Intelligence, and Deep Learning. UGC has approved our 12-month/24-month scheme. Explore our program by simply filling out a form! Click here: https://race.reva.edu.in/pg-diploma-m-tech-ms-in-artificial-intelligence/