Are Machine Learning Jobs in Demand in India: India has become a significant player in the machine learning industry in recent years. A subfield of artificial intelligence known as “machine learning” enables computers to learn from experience and advance without explicit programming. Due to the growing number of companies utilising machine learning to boost their operations and competitiveness, there has been a tremendous increase in the demand for machine learning employment in India. In this post, we’ll examine the demand for machine learning employment in India in more detail.
Are Machine Learning Jobs in Demand in India
To begin with, let us understand the scope of Machine Learning. Machine Learning has a wide range of applications, from predictive analytics to natural language processing, image and speech recognition, and much more. Machine Learning has the potential to revolutionize a variety of industries, including healthcare, finance, e-commerce, and transportation. As a result, the demand for Machine Learning professionals has been on the rise.
According to a recent report by Analytics India Magazine, the Machine Learning market in India is expected to grow at a CAGR of 42% from 2020 to 2025. This growth is driven by the increasing adoption of Machine Learning by businesses in India. In fact, a survey conducted by Analytics India Magazine found that 70% of businesses in India have either already implemented Machine Learning or plan to do so in the next two years.
Another report by Naukri.com, a leading job portal in India, found that the demand for Machine Learning professionals has increased by 43% in the last year alone. The report also found that Machine Learning is one of the highest-paying job roles in India, with an average salary of around INR 14 lakhs per annum. This is significantly higher than the average salary of other IT job roles.
The demand for Machine Learning jobs in India is not limited to the IT industry. Machine Learning is being adopted by a wide range of industries, including healthcare, finance, e-commerce, and transportation. For instance, in the healthcare industry, Machine Learning is being used to improve patient outcomes by predicting diseases and suggesting personalized treatment plans. In the finance industry, Machine Learning is being used to detect fraud and manage risk. In the e-commerce industry, Machine Learning is being used to personalize product recommendations and improve customer experience. In the transportation industry, Machine Learning is being used to optimize routes and reduce transportation costs.
The demand for Machine Learning professionals in India is not just limited to the big cities. As more and more businesses in India adopt Machine Learning, the demand for skilled professionals is also increasing in smaller cities and towns. This has created new opportunities for people living in these areas to build careers in Machine Learning.
To meet the growing demand for Machine Learning professionals in India, there are several initiatives being taken by the government and private organizations. For instance, the Government of India has launched the National Program on Artificial Intelligence (AI), which aims to build a vibrant ecosystem for AI in the country. Under this program, the government is providing support for research, development, and adoption of AI technologies. Private organizations such as NVIDIA and Intel are also investing in the development of Machine Learning talent in India by organizing hackathons, workshops, and training programs.
In India, there is a growing need for machine learning professionals. In the upcoming years, it is anticipated that demand for qualified individuals would increase further due to the increased adoption of machine learning by organisations across industries. For IT professionals and students, machine learning is a lucrative career choice because to the high compensation granted to professionals in the field. The development of India’s machine learning talent pool is being supported by both public and commercial organisations, which is anticipated to promote the industry’s expansion there.