Upgrade & Secure Your Future with DevOps, SRE, DevSecOps, MLOps!

We spend hours on Instagram and YouTube and waste money on coffee and fast food, but won’t spend 30 minutes a day learning skills to boost our careers.
Master in DevOps, SRE, DevSecOps & MLOps!

Learn from Guru Rajesh Kumar and double your salary in just one year.

Get Started Now!

TOP ARTIFICIAL INTELLIGENCE JOB TITLES WITH HIGHEST SALARIES IN INDIA

Source: analyticsinsight.net

Artificial Intelligence continues to evolve through businesses across diverse industries, opening opportunities for organisations to operate and drive values to customers. From managing global supply chains to optimising delivery routes, the technology is augmenting its dominance in today’s digital world. This is why, AI is in high demand as businesses, be it small or large, are seeking to garner a competitive edge.

According to reports, demand for AI jobs continues to increase, and with more open jobs than qualified candidates to fill them, many AI-related roles rule high salaries. Similar to every country in the world, India is also racing to gain AI’s potential benefits that could be game-changing. In the country, AI is gaining rapid traction as large tech giants are looking at the country for new opportunities for their business growth.

Here are the top AI job titles with the highest pay in India.

Data Scientist

Data Scientists’ responsibilities revolve around Identifying valuable data sources and automating collection processes; Undertaking preprocessing of structured and unstructured data; Analyzing large amounts of information to discover trends and patterns, and more. They work closely with business stakeholders to understand their goals and determine how data can be used to accomplish those goals.

The average salary of a Data Scientist in India is INR 10,15,385 (US$13,332.26).

Data Engineer

Data engineers are the ones responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise. They are often accountable for building algorithms to assist in providing easier access to raw data.

The average base pay of a Data Engineer is INR 8,25,676 (US$10,848.10).

Data Analyst

Data Analysts deliver value to their companies by taking insights about specific topics and then interprets, analyzes, and presents findings in comprehensive reports. They acquire data from primary or secondary data sources and maintain databases.

The average salary of a Data Analyst is INR 5,19,956 (US$6,831.42).

Algorithm Engineer

An Algorithm Engineer is responsible for developing an algorithm system that records all operations and can be maintained by the team, and managing design, development, and deployment of scalable, high volume and real-time system. He/she also need to research on algorithm improvements and implement data processing.

The average salary of an Algorithm Engineer in India is INR 7,21,192 (US$9,475.35)

Computer Vision Engineer

Computer vision engineers often apply computer vision research that is based on a large sum of data to solve real-world problems. They spend much of their time researching and implementing machine learning primitives and computer vision for their client companies. A Computer vision engineer has a significant amount of experience with a variety of systems, such as image recognition, machine learning and segmentation.

The national average salary of a Computer Vision Engineer is INR 4,17,549 (US$5,485.95).

Machine Learning Engineer

A Machine Learning Engineer is proficient in using data to training models, which are then used to automate processes such as image classification, speech recognition, and market forecasting. He/she works close to that of a data scientist as both roles perform with a large amount of information, and require excellent data management skills and the ability for complex modeling on dynamic data sets.

Related Posts

What is AIOps?

AIOps, short for Artificial Intelligence for IT Operations, is a practice that combines artificial intelligence (AI) and machine learning (ML) technologies with traditional IT operations to enhance Read More

Read More

What is Natural Language Processing (NLP) tools?

Introduction to Natural Language Processing (NLP) Tools If you’ve ever asked Siri a question or talked to Alexa, you’ve used Natural Language Processing (NLP) tools. In essence, Read More

Read More

What are Emotion Detection Tools and Why Emotion Detection Tools are Important?

What are Emotion Detection Tools? Emotion detection tools are a type of technology that analyses human facial expressions, voice tone, and body language to determine the emotional Read More

Read More

What is Sentiment Analysis and what are the Types of Sentiment Analysis and its Important?

Introduction to Sentiment Analysis If you’re a business owner, marketer, or just someone who’s curious about what people think about your brand, then you’ve probably heard of Read More

Read More

What is Object Detection and Why is Object Detection Important?

Introduction to Object Detection Tools Object detection is the process of identifying and locating objects of interest in an image or video. Object detection tools are software Read More

Read More

What is Face Recognition and Why is Face Recognition Important?

Introduction to Face Recognition Tools We’ve all heard of facial recognition technology, but what exactly is it and why is it important? From unlocking your phone with Read More

Read More
Subscribe
Notify of
guest
0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x