What is the Average Salary of a Machine Learning Engineer?

What is the Average Salary of a Machine Learning Engineer? | Data Science | Emeritus

Machine learning is a branch of artificial intelligence that resembles a human brain. It can take command and incorporate changes into its systems, just like a human brain. That’s why machine learning and artificial intelligence have made inroads into different business enterprises. Moreover, machine learning systems’ versatility and advanced functions make them valuable assets for organizations dealing with a humongous amount of data.

It is a known fact that business organizations are data mines. However, it is still news that different scientific processes can store, manage, and interpret data faster than light. Machine learning is one of them, and so is artificial intelligence. With more and more companies learning the dynamic uses of machine learning in data mining and extraction, the need for skilled machine learning engineers is increasing. And so is the average salary of machine learning engineers. If you are also an aspiring machine learning engineer; you wouldn’t want to miss out on the salary trends in the industry.

In this article, we will discuss machine learning engineers’ salary trends in India with special emphasis on the role, responsibilities, and skills endorsed by industry leaders. However, before that, let’s understand the basic meaning of data science and machine learning.

What Are Data Science and Machine Learning?

Data science is drawing actionable results from huge volumes of data. The scientific process combines mathematical and statistical methods to find solutions to business problems through data.

Meanwhile, machine learning is the branch of artificial intelligence that uses data and algorithms to imitate how the human brain learns and improves over time. Data science and machine learning are what one can call modern business concepts transforming the business environment. The use of data science and machine learning is helping enterprises to thrive in the technology-driven environment.

Now that you know what data science and machine learning is, let us take you through the nitty-gritty about machine learning engineers – roles, responsibilities, duties, and average salary in India.

Who is a Machine Learning Engineer?

Machine learning engineer is a vital part of the data science process. They research, build, and design self-running and intelligent artificial intelligence systems. Moreover, a machine learning engineer creates algorithms that predict future events and prepare a business organization for adversities by implementing changes. The complex business environment has led to the demand for machine learning engineers. Therefore, they earn a lot more than what they used to a few decades ago. Here’s an insight into the average salary for a machine learning engineer.

What is a Machine Learning Engineer’s Salary?

Machine learning engineers specialize in assessing, analyzing, and organizing large amounts of data quickly using advanced technologies. The demand for skilled machine learning engineers, therefore, is high worldwide. Moreover, the salary packages offered by companies globally are competitive. A machine learning engineer, on average, earns about ₹ 6,86,281 annually. The salary figure is relative and dependent on various factors. Here are the factors affecting machine learning engineer’s salaries in India and worldwide:

  • Skills
  • Roles and responsibilities
  • Experience
  • Qualification

We will be discussing the factors affecting the average salary of a machine learning engineer in the next section of the article. Let’s begin by skimming through the skills required to earn a high salary.

What Are the Skills Required for Machine Learning Engineer Jobs?

Machine learning

A machine learning engineer should be well-versed in different processes and algorithms associated with machine learning. Moreover, they should be skilled to solve basic issues occurring in the computer system. Interestingly, the average salary of a machine learning engineer is about ₹ 7,06,169 L.P.A.


Python is a computer language that is widely used in computer processes. The main reason for its popularity is its easy-to-use coding formula and interface. Therefore, aspiring machine learning engineers unaware of the coding language can take up different certification courses to learn more about it. The average salary of a machine learning engineer well-versed in Python earns about ₹ 6,12,684 per annum.

Deep learning

Deep learning is the subset of machine learning that tries to emulate the human brain. Interestingly, it performs all the activities and functions a normal human brain can perform. Deep learning is an advanced system that is widely used in businesses currently. Hence, there is a high demand for machine learning engineers akin to deep learning intricacies and methodologies. An engineer well-versed in deep learning earns about ₹7,54,250 per annum.

Natural language processing

Natural language processing (NLP) is a branch of artificial intelligence that responds to speech or text queries. Amazon Alexa and Siri are some examples of NLP. The modern technological concept- NLP, drives computer processes and algorithms to match the question and find a solution in a jiffy. The average salary of a machine learning engineer in India is about ₹6,97,670 L.P.A.

Computer vision

Computer vision can be summarized as converting digital images, videos, and other visuals into meaningful and actionable data. This branch of AI specializes in analyzing the visual medium is quite a popular skill adorned by a selected few. So, if you want to draw a fat paycheck, then learn computer vision nitty-gritty. A machine learning engineer with computer vision earns about ₹7,36,976 per annum.

Some other skills required by machine learning engineers to perform their work efficiently are:

  • Knowledge of advanced math and statistic formulas
  • Well-versed in data science and data analysis procedure
  • Experienced in computer architecture and more

What Are the Roles and Responsibilities of Machine Learning Engineers?

Here are some roles and responsibilities of machine learning engineers that help them secure a competitive package and prestigious job.

  • Develop designs for various machine learning systems
  • Perform statistical analysis and data science prototyping
  • To extract data and understand them to draw inferences that help solve business problems
  • To analyze different machine learning algorithms and rank them according to their business problem-solving capability
  • To concoct machine learning applications for clients or customers

Lastly, we’ll walk you through how much entry, mid-senior, and senior-level machine learning engineers earn annually. Read on.

How Does the Salary of Machine Learning Engineers Change with Work Experience?

Machine learning engineers’ salary changes based on the number of years of experience they have. With experience comes knowledge about different processes and working efficiently. Therefore, an entry-level machine learning engineer’s salary differs from that of a mid-senior-level machine learning engineer. Let’s see how much they earn.
An entry-level machine learning engineer earns ₹5,01,058 annually. Similarly, mid-senior and senior-level machine learning engineers’ salary is about ₹ 11,42,459 and ₹ 19,99,619, respectively per annum.

How to Become a Machine Learning Engineer?

Becoming a machine learning engineer is no child’s play. It takes the right educational qualification and skills to excel in the field. You can begin by taking up different machine learning certification courses to upskill yourself and increase your chances of getting a competitive salary and a prestigious job. Emeritus India offers various data science and machine learning certification courses that’ll help you work with your dream company and accentuate your career.

About the Author

Senior Content Contributor, Emeritus Blog
Varun, a seasoned content creator with over 8 years of diverse experience, excels in crafting engaging content for various geographies and categories. Leveraging this expertise, he seamlessly translates complex concepts into enriching educational content for the EdTech domain. His keen understanding of research and life experiences helps him resonate with students and create fact-based content. He finds solace and inspiration in music, nurturing his creativity for content creation.
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