According to a Gartner report, Artificial Intelligence (AI) is estimated to pave way for close to 2.3 million opportunities by the year 2020. And if you look at a report from Indeed, vacancies in the realm of artificial intelligence has doubled over the last three years. A similar report from Indeed also reveals that the most in-demand job roles in artificial intelligence are that of machine learning engineers, software engineers and data scientists.
While the competition in the industry is yet to heat up in the coming months, the current talent pool in the IT industry have already set their eyes on artificial intelligence as an avenue for lucrative paychecks and rewarding career path. Amidst all the commotion that AI will replace redundant job roles with automation and smart devices, we are yet to reach the stage where machines would take over our everyday life. So if you are an AI aspirant looking to land a job in the industry, let us remind you that opportunities are aplenty. This article sheds light on some of the most in-demand jobs in the industry right now.
By now, we are quite sure you would have understood the roles and responsibilities of data scientists. They are primarily involved in collecting data from multiple touchpoints, analyzing it, interpreting it for inferences and insights and coming up with effective solutions for business concerns. Machine learning and artificial intelligence are integral parts of data science, where techniques from both such as regression, predictive analytics and more are applied for insight generation.
With a median salary of over a $1000, machine learning engineers are some of the most in-demand jobs in artificial intelligence. They are most sought by companies and are immediately recruited for operations if found suitable. Machine learning engineers come with competencies on software, natural language processing, statistics, applied math and working knowledge of tools such as IntelliJ, Eclipse and more. If you are an AI aspirant, you might want to consider more about becoming a machine learning engineer.
The role of a research scientist is inter-disciplinary. He or she would go back and forth between working on artificial intelligence and machine learning-based projects. A research scientist would be involved in deep learning, reinforcement learning, natural language processing, computer perception and more. If you intend to become a research scientist, you need to possess skills in parallel computing, distributed computing, algorithms and computer architecture. You can also expect a median salary of over $80,000.
A business intelligence developer brings to the table business acumen apart from skills on artificial intelligence and machine learning. He or she is responsible for crunching massive chunks of data for business insights and work on increasing the profits of a company from a myriad of perspectives. From designing and maintaining data for cloud-based platforms to optimizing workflows and processes, business intelligence developers are responsible for carrying company growth on their shoulders.
Apart from these, the scope for jobs in artificial intelligence and machine learning also ranges across job roles like –
If you are looking for a career shift into AI and ML, we would say it is the ideal time to be part of the bandwagon. To know more CLICK HERE.