The year 2020 has been marked by some of the most momentous shifts that this decade has seen, with governments going into lockdown and millions of individuals being unexpectedly laid off from their employment. Now that things are beginning to return to normal after being quarantined for seven months, businesses have started looking for ways to survive in the post-COVID age. This is because things are beginning to return to normal. Because of the current state of the economy, people who work in technology have become increasingly valued, and as a result, businesses have started devoting more resources to the recruitment of qualified tech professionals. As a direct consequence of this, there has been a progressive rise in the demand for professionals that possess advanced technological abilities. Several papers and research conducted during the beginning of the year discussed various aspects of artificial intelligence, including deep learning, machine learning, data analytics, and data analytics. A recent report that was published in a variety of national and international magazines found that available opportunities for analytics specialists account for 33.7 percent of all vacant positions. This is followed by machine learning, which accounts for 20.4 percent, and cyber security, which accounts for 15.4 percent. It’s possible that this is because of the enormous amount of data that is generated throughout each transaction in both the B2B and B2C markets. These data also reveal that, despite the recession, data analysis and automation are still required in order to lessen the occurrence of redundancies and to ensure the security of vital data.
As more and more businesses seek to automate their processes and primary manual chores, there has been an uptick in the demand for experts with expertise in artificial intelligence and machine learning. According to LinkedIn’s most recent annual employment report, the number of positions open for AI specialists has climbed by 74% each year over the course of the past several years. Indeed reports that the average annual base salary for a machine learning engineer in the United States is $145,539, whereas the median salary for the same position in India is 13.6 lakhs. The findings indicate that despite the current state of the economy, the demand for people with skills in artificial intelligence and machine learning is likely to stay intact, as will the associated remuneration. The survey found that abilities related to artificial intelligence and machine learning, such as TensorFlow, Python, and natural language processing, are in high demand and will be required for people to obtain careers in these fields.
According to Ammar Jagirdar, Product Head at Qure.ai, while there has always been a significant demand for qualified data scientists and engineers, in the post-COVID era, there is a greater need for those who are able to adapt to changing circumstances. Jagirdar continued by saying that although the world is changing rapidly and may continue to do so in the future, “we will be ready for these issues.” ” At Qure, we are looking for people with experience in deep learning R&D and product implementation, particularly in the healthcare business. In addition, we are searching for data scientist roles, front-end engineering positions, and back-end engineering positions right now. Even the Google Program Lead Lakshya Sivaramakrishnan thinks that machine learning and data science would be the most in-demand technological talents in the age after COVID. This is due to the fact that in the aftermath of the epidemic, an increasing number of organisations will be looking for greater adaptability and flexibility, and they will respond to the necessary change in order to remain relevant. On the other hand, she is of the opinion that companies are unable to continue developing models without the support of engineers, which is where she sees the role of mean stack developers coming in. As a consequence of this, the alternatives are limitless, and the capabilities of machine learning may be applied to satisfy any requirement, including the development of chatbots to enhance customer service, the promotion of increased communication in the workplace, and the enhancement of online security. As a direct consequence of this, professionals who have prior knowledge in areas such as artificial intelligence (AI) and machine learning (ML) will be in extremely high demand in the era that follows COVID.
The availability of such information makes it abundantly evident that the world that will exist after COVID will be significantly more advanced than the world that exists right now, with firms embracing emerging technologies such as artificial intelligence and machine learning. As a result of the fact that artificial intelligence (AI) and machine learning will become the standard rather than the exception, it is absolutely necessary for companies and professionals to reevaluate their strategy and look for ways to incorporate these rapidly expanding industries in order to remain relevant after COVID is implemented.
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