The rise of Artificial Intelligence is raising fears that efficient machines are likely to take over human jobs. On the contrary, as per the research, AI will help augment the abilities of human workers and could play the role of job creator. Just like other past disruptive technologies AI will also create new opportunities for jobs. Here are the top 5 professions that stand to grow with the rise of AI.

Data Scientists

Data scientist analyzes data to understand complex behaviors, trends, and inferences, discovering unseen insights that help companies to make better business decisions. Data scientists are a new breed of analytical data experts and can play a role as a part mathematician, computer scientist, and part trend-spotter.

Online video streaming service providers and eCommerce companies are using data scientists for customers viewing patterns, their interests, and shopping behaviors to understand the future demand. This pattern learning helps companies to plan production or new launches accordingly.

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AI or Machine Learning Engineers

To synchronize their work now most of the machine learning engineers are partnering with a data scientist. Data scientists have stronger skills in statistics and analytics while ML engineers would have more expertise in computer science that is favorable for stronger coding abilities while working on any project based on AI and ML technology.

AI Hardware Specialists

Jobs in AI are not only associated with software and programming. Manufacturing AI-related hardware such as a GPU chip also requires specialized manpower. Big companies are now entering into developing their specialized chips. Intel, Qualcomm, and IBM are now developing chips especially for machine learning and creating hardware architecture that mirrors the design of neural networks and can execute like them as well.

Data Labeling Professionals

Along with the increase in demand for data collection services, demand for data labeling professionals is also surging and likely to increase at a faster rate in near future. Data labeling involves the curation of data, in which raw data is taken, cleaned, and organized for machines to consume. Proper labeling allows AI scientists to train machines in new tasks.

Data Labeling Professionals

Data Protection Specialists

With the rise in demand for data-related services and machine learning models in various industries, its protection also becomes a hot profession among IT specialists. There are many types of the role a data protection specialist can play like Data auditing, access control, encryption, backups, application security, and many more similar responsibilities.

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Usually, databases are secured against hackers through various security measures like network-based intrusion detection systems and firewalls, etc. However, securing such important database structures and networking programs or functions and data within them becoming more challenging due to increasing access to open networks through the internet.

Without Human analysis and judgment AI & ML would be not possible

AI will create more jobs than it will destroy because without involving humans, the process of organizing, analyzing, and drawing actionable conclusions from data are not possible. This makes the role of humans more significant especially for creating, implementing, and protecting AI technologies.

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