Did you know that AI is expected to create 2.3 million jobs related to machine learning by the year 2020?
Machine learning is a growing market for every stakeholder in the computer science and IT industry. Be it businesses, customers, or employees, everybody will benefit from the advent of machine learning and solutions powered by it. Of course, employees or students in last year of college will also see a whole new world of job opportunities in the machine learning field.
However, often students and talented professionals feel confused by career decisions. Hence, to help them decide whether they should choose this field or not, we have prepared a short guide. Read more to know the future scope and salary scale of the machine learning field.
Career
Machine learning professionals are currently high in demand. The big and small organizations are eagerly searching for professionals in this field. However, to gain a good package and fruitful job position, below are aspects of machine learning that you should learn.
- Computer skills including data structure, algorithms, complexity and computability (big-O notation, NP, NP-complete, etc.), and computer architecture.
- Machine learning libraries and algorithms.
- Basics and deep knowledge of statistics and probability including Bayes theorem, decision tree, ANOVA, etc.
- Software engineering aspects such as system design, requirement analysis, modularity, testing, etc.
Salary
If you know your basics and other machine learning aspects, then there is nothing that can stop you from achieving a good career in this field. According to Glassdoor, the average salary of a machine learning professional in India is ₹10,41,182. While you may receive much less than that in the starting, you can reach to this salary package with hard work and constant learning.
Future scope
Overall, the future scope of machine learning is increasing as we speak. Even right now several scientists and machine learning professionals are working on models that we will see in the near future. Further, owing to our dependency on smart and intelligent products such as smartwatch and Alexa, it is unlikely that this field will cease to grow.
However, you may need some kind of solid proof to kickstart your career. Hence, for this, we suggest completing a certification course so that you can prove your excellence in the field and gain expert knowledge from industry stakeholders.
Conclusion
If you want to pursue a career in machine learning, then you should not give it a second thought. Just learn all the important, related aspects such as neural networks, natural language processing, and AI and give your career graph an instant upward boost.
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