In the past few years, AI has transformed from just a futuristic discussion that eluded everyone to a full-fledged practice that spans several disciplines and employs many people. As of today, about 15% companies make use of AI for one or multiple jobs, but within a year this number is slated to double to 31%. And given the number of companies that are looking forward to use AI, it is only natural that AI-based jobs will continue growing.
A big data scientist or simply a data scientist analyses large sets of data and creates models around them. The job of a data scientist may involve working with the marketing team, operations team, finance team, or working on a particular product/service.
With tons of data being collected and stored daily, companies are looking for newer ways to make sense of that data. Data scientists rely on statistical analysis and customer analytics for improving business metrics and efficiency and have become a must-have for both big businesses and small.
2. Machine Learning Expert
Machine learning aims to program machines in a way that enables them to make sense of data without explicitly requiring special coding every single time. Just like humans learn from constant interaction with each other and then make use of that learning in the future for taking decisions, machine learning is the science of letting machines develop their own intelligence by supplying data to them.
With a growing reliance on machines and technology, companies are looking to hand over the responsibility to machine learning experts who can eventually help reduce the cost and time involved in several business functions.
3. Business Intelligence Developer
This is an exciting time for businesses all over the world. The ones that can make efficient use of intelligence are getting ahead by leaps and bounds, whereas the ones that are not, are becoming obsolete and shutting down. A business intelligence developer makes use of various tools for working on data to come up with intelligence that can improve business processes, customer satisfaction, and overall ROI apart from other things.
4. Robotics Engineer
It’s estimated that in the next 50 years, robots will be able to perform tasks that presently require a high degree of human involvement. Scientists have predicted that they will be able to develop robots that can take on professional football teams, perform surgeries without human assistance, become personal assistants at banks and hotels etc. You never know whether the next Roomba or Alexa is your idea!
5. Software Engineer
Surprised? No matter where technology leads us, software engineering jobs are here to stay. Software engineers work on a gamut of things right from niche projects to full stack developments. A lot of times, software engineers write codes that in turn support the codes written by data scientists or machine learning experts.
Skills required for AI jobs
These skills will help you carve a career in AI-related fields:
1. Programming – AI experts need to be well-versed with tools that enable automation. A data science or AI course usually involves getting trained in tools like R, Hadoop, Python etc.
2. Statistical analysis – AI experts are required to perform statistical analysis for determining the output of several data sets.
3. Analytical skills – A data scientist or machine learning expert works with huge amounts of data. Sometimes, it can get difficult to stare at numbers, wondering how to make sense of them. That’s when it helps to have an analytical and creative mind.