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Highest Paying Jobs in Machine Learning


By NIIT Editorial

Published on 07/03/2021

6 minutes

You’ve probably heard a thousand times how fantabulous ML is at making computer algorithms learn for themselves. This aspect of self-supervised learning has earned it a special place amongst data-rich organizations. Yet, ML involves a collection of miscellaneous skill sets that are still hard to find in one-off professionals. This over-demand of work and under-supply of talent makes professionals with ML expertise an elusive prospect. Have a look at the skills that are expected of a run-of-the-mill ML scientist: 

 

  • Cognitive Science 
  • Robotics 
  • Mathematical modeling 
  • Statistics 
  • Data analysis 
  • Cloud environments  

 

Depending upon the employer and your profile the skills could be vastly different. Here are the leading machine learning profiles that professionals have on offer in India.

 

 

Data Scientist 

 

It is their job to study data and gather insights for further use by business stakeholders. The way they usually find data is quite unstructured. So a huge amount of time is invested in data engineering and getting it in shape to perform mathematical analysis. Acquire knowledge of big data tools, Hadoop, MapReduce, Pig, Hive, etc. in addition to programming languages such as Python, SQL, R, and Scala helps in landing this role. 

 

Machine Learning Engineer 

 

A key responsibility of people employed in this profile is to pass data into the models hypothesized and created by data scientists. Training models created by machine learning engineers help in production-level by operating at scale with big data. It is vital that they can work interoperably between Java, Python, and Scala. 
 

Research Engineer  

 

Such professionals direct the informational flow towards the research and development efforts of the entire business. They do so by accumulating empirical data to prove the worthiness of an idea and profitable business lines. Many view this profile as an entry point into the ML industry as individuals can crack interviews without PhDs in maths and statistics. That said, an MBA in a related discipline is a must. 

 

Data Engineer 

 

As you can make out already, machine learning and artificial intelligence have a variety of roles. That said there are lateral roles as well that help ML and AI engineers to achieve their aims. A data engineer is one such position. They are tasked with building software platforms that enable ML applications to come to life. Java, C++, Python, and Scala are the main programming languages that are used regularly in this segment. 

 

Algorithmist 

 

In a manner, they’ve emerged from software development wherein the developers have been creating computer algorithms for programs. They handle end-to-end algorithm development beginning with their design, implementation, and optimization.

 

What Else

 

Data science is flooded with innovative, inter-domain roles that require expertise on a range of subjects. Aspirants who chase MNC job roles in the sector blindly, often end up restricting their skill sets. For this reason, NIIT’s subsidiary wing StackRoute has innovated 4 new, state of the art career programs studded with value adding modules on machine learning, data analysis, natural language processing and deep learning. 

 

Customized to beginner/intermediate/advanced levels of data science acumen, applicants can choose and pick between the programs based on their level of understanding of the field. 

 



Advanced Post Graduate Program in Data Science and Machine Learning (Part Time)

Become an industry-ready StackRoute Certified Data Science professional through immersive learning of Data Analysis and Visualization, ML models, Forecasting & Predicting Models, NLP, Deep Learning etc. with this Job-Assured Program*. This program is created in collaboration with Fraunhofer Institute, Germany. The program is for Data Science Level 1, 2 and 3 only.

Curated for working professionals

Fraunhofer Certified Program

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