Scope of a Career in Machine Learning
Being one of the hottest jobs in the world, people are shifting their careers to machine learning and as of now, there are above 22,000 jobs available in India and 247,000 (worldwide) and the figures are increasing every day. So, if you have an interest in Python, analysis, or any of its relevant branches then you should think about choosing machine learning as your career. This advanced field will uplift your programming, analytical thinking, and algorithm skills which helps any organization to work optimistically. It clearly indicates how your future is gently secured and that too with an above-average salary. Now, let’s take a look around to find out some of the careers where you can grow in machine learning.
- Machine Learning Engineer
- Big Data Engineer
- Data Scientist
- Business Intelligence Developer, etc.
To know more about the career path in machine learning, refer to the article Career Paths in Machine Learning
Since, we’ve discussed the basics, future, and career scope of machine learning now is the time for you to know what kind of IDEs are generally used by machine learning engineers in their day-to-day work.
Best IDEs For Machine Learning
Over the years, Machine Learning has made a significant impact in the market. As per a recent report, currently, the market is standing at USD 21 Billion (2022) and is expected to cross USD 200 Billion by the end of 2029 at a CAGR of 38% and above. This graph has marked the influential leap during the COVID-19 pandemic and the demand rose by multiple folds (specifically for ML & AI) and the market is not showing any sign of slowing down.
Since the demand for Machine Learning and its professionals is increasing every day, it becomes crucial for you to understand that it’s not as easy as it seems. Being one of the most fascinating technology jobs, the key to getting sustainable growth in this field is to keep yourself updated with the latest tools and techniques to get ahead in this field.
Before we jump into the mainframe, let’s start with the basics of Machine Learning along with its scope in the future: