Since Artificial Intelligence and Machine Learning are impacting the future of the globe, companies across virtually every industry are automating their work process to boost productivity, achieve incredible accuracy, educate themselves on consumer behavioural patterns, and stay up-to-date and relevant in the age of big data.

Being an AI developer is the skill of the century — According to PwC, AI could contribute up to $15.7 trillion to the global economy in 2030. The average salary of an AI professional in India today is 15 lacs as per payscale.com.

The demand for Machine Learning Engineers, Data Scientists, Artificial Intelligence (AI) Specialists is skyrocketing as leading technology giants like Google, Amazon and Facebook set the pace in AI research and machine learning. A career as an AI professional is both financially lucrative and exciting as the industry continues to innovate and re-invent itself continuously.

In general, AI salaries in India are much higher than the national average, with not enough skilled or trained professionals to fill well-paying roles. Since AI demands a specific set of skills, industry demand far outnumbers top quality professionals.

Some of the biggest recruiters of AI professionals in India are Amazon, IBM, Google, Nvidia, LinkedIn, Accenture, Deloitte, Microsoft etc.

Machine Learning and AI positively impacts virtually every industry by improving consumer experience, mobilising work-flow and re-inventing the way we use technology to improve our day-to-day lives. As technology continues to advance, so do the myriad career opportunities in Artificial Intelligence. Some of the world’s leading companies hire AI professionals as Data Scientists, ML Engineers, AI Engineers and Software Engineers.

Furthermore, AI professionals can opt for a career across industries as demand for this skill is not limited to one. The finance sector, the automobile and retail industry, security and surveillance industry, IT, online customer support among many others are all key recruiters looking for quality professionals.

Most people confuse business analysts with analysts, but the former is 1 step above. Hence, their concerned domains also differ and include product/ project SDLC, programming logic and solutions, vendor coordination, MDM & logics, and business processes.

The role of Data Architects generally revolve around data warehousing, data architecture development, data modelling, ETL working, data cleaning, and elastic working and functionalities.

The CDO works with advanced data algorithms, advanced predictive algorithms, big data processing, NoSQL, and ETL logic. Their primary task is also to innovate and hence, they are the creators.