In India, the most sought-after careers are related to Artificial Intelligence (AI), with a staggering 45,000 job openings currently available for data scientists and Machine Learning (ML) engineers.
According to a recent report by TeamLease Digital, a tech staffing company, the potential of AI in various industries has been analyzed.
The report reveals that the growing emphasis on scalable Machine Learning (ML) applications has resulted in a significant increase in demand for proficient AI professionals who possess expertise in scripting languages and can develop conventional ML models.
Following are some of the findings from the report:
• Data and Machine Learning (ML) engineers can earn up to Rs 14 lakh per annum, whereas data architects can earn up to Rs 12 lakh.
•Professionals with eight years of experience in related fields can earn even higher salaries, ranging from Rs 25 to 45 lakh per annum.
• In today’s job market, acquiring Artificial Intelligence (AI) skills has become imperative for career advancement and employability. Individuals who invest in developing AI skills will reap long-term benefits in terms of career growth and opportunities.
•To cultivate an AI-ready workforce, 37% of organizations prefer to equip their employees with relevant tools, while 30% consider AI learning initiatives mandatory to unleash the hidden potential of their workforce.
• Up to 56% of organizations indicate that they are taking necessary steps to address the talent gap in AI supply and demand.
What Exactly Do These People Do?
Data Engineer: The role of these engineers involves gathering data from diverse sources and utilizing it to construct and manage systems that generate this data.
They are responsible for cleaning and transforming the obtained data so that data scientists and analysts can scrutinize it.
Similar to software development, they utilize guidelines to construct the architecture and data systems and make the data usable by writing intricate queries.
In addition, these professionals possess expertise in algorithms and a range of critical programming concepts.
ML Engineer: A Machine Learning (ML) engineer is responsible for researching, designing, and building self-sustaining artificial intelligence (AI) systems that can automate predictive models.
They specialize in creating and developing AI algorithms that have the ability to learn and make predictions, which are the fundamental principles of Machine Learning (ML).
Data Architect: The primary responsibility of this professional is to establish policies, procedures, models, and technologies for the collection, organization, storage, and retrieval of information within the organization.
They are responsible for formulating the organization’s data strategy, which includes defining standards for data quality, managing the flow of data, and ensuring the security of data.
In addition, their expertise enables them to translate business requirements into technical requirements, thus providing the vision for effective data management.
