AI/ML Engineer Salary in India

Artificial Intelligence and Machine Learning are terms that we hear every day in the technology industry. But with a surplus of information on what these two technologies are, it’s sometimes difficult to decipher what they mean. Today, technological advancements are pushing us to build artificial intelligence and machine learning Into more industries, and the industry needs professionals who can help.

If you are looking for a fast-paced, challenging job as a part of the artilect industry, this blog is your one-stop-shop. We’ll give you information on the job roles and artificial intelligence salary in India along with machine learning engineer salary in India.

Educational Requirements in Artificial Intelligence

Entry-level roles in the field of artificial intelligence are generally held by graduates with :

An artificial intelligence engineer salary depends on the strong process-oriented approach towards solving problems related to different domains such as :

For professionals working in the industry, it is relatively easier to upskill for AI job roles by enrolling in AI certification courses, or training programs, or online boot camps. An artificial intelligence engineer salary in India varies according to the knowledge in each subject.

Artificial Intelligence Salary Packages in India

With the demand for AI engineers in India and abroad at its peak, there’s plenty of opportunities for the ones who are capable of meeting these expectations. However, the experience can play a major role while getting a job in Artificial Intelligence in India.

Salary Based on Experience :

An Artificial Intelligence engineer salary in India varies according to the experience of working in this particular field. Some of the examples are :

Professional AI developers are surrounded by an aura of high respect, and many AI start-ups and organizations are ready to pay a lot of money to get these professionals on board.

Salary Based on Location :

If you’re interested in working in artificial intelligence, you should also know that salaries vary according to a specific location. Artificial Intelligence salary in India varies according to the location as:

AI engineers in India are in huge demand right now. Artificial Intelligence engineer salaries in India have been pretty good for all the engineers.

Top Ranking Artificial Intelligence (AI) Jobs in India

The field of artificial intelligence has continued to grow in the past few years, leading to a spike in the number of AI jobs offered on the job market. Artificial Intelligence salary in India for top ranking jobs are:

S. NO

Top Ranking AI Jobs

Salaries Offered

  1.  

Principal Data Scientist

Rs. 17,11,180

  1.  

Research Engineer

Rs. 6,52,230

  1.  

Data Analyst

Rs. 4,97,550

  1.  

Data Engineer

Rs. 8,35,755

  1.  

Algorithm Engineer

Rs. 5,40,220

  1.  

Computer Vision Engineer

Rs. 4,50,000

  1.  

Data Scientist

Rs. 6,99,928

  1.  

Computer Scientist

Rs. 16,24,615

  1.  

ML Engineer

Rs. 9,50,000

Many of the biggest large-scale recruiters use AI daily. Their teams include leaders in the field who will help you develop and utilize cutting edge AI technologies. Some biggest recruiters are :

Artificial Intelligence salary in India is one of the highest salaries available in the country. However, as the demand for AI professionals continues to rise, employers are offering competitive pay packages to attract the best talent.

Machine Learning Educational Requirements

Machine learning engineers have a crucial role in companies. They have to develop algorithms that can be used in all sorts of applications, from image and facial recognition to recommendation systems on e-commerce sites. Machine Learning engineer salary in India is top-notch but has some educational requirements. These are :

  1. ML Algorithms: Machine learning algorithms determine which algorithm, in particular, is befitting for a situation. The design and efficient implementation of an algorithm are important as well.

  2. Statistics and Algebra: Developing a thorough understanding of machine-learning algorithms requires an understanding of gradients, linear algebra, and calculus as well. The various mathematical topics you'll need to understand lean heavily towards topics in linear algebra and numerical analysis.

  3. Programming Languages: Before you start your career in machine learning, you'll need to learn different programming languages. These languages are what will drive the life of your project.

  4. Data Evaluation: A key part of the ML estimation process is evaluating the efficiency of the model regularly. There are multiple methods for evaluating a model, such as regression or classification.

The demand for a Machine Learning engineer is huge in this field. There are so few people who have the skillset for it and are aware of what could be their career growth in this domain. Machine Learning expert salary in India varies from place to place and also according to the skill set.

Salary Based on Experience:

The salary of an Indian Machine Learning engineer is also dependent on experience. Just like other jobs, the more qualified an individual is, the more money he/she can expect to receive.

  • A machine learning engineer can earn up to ₹500,000 per annum. This is a high entry-level salary that represents the time and effort required to become a machine learning expert.

  • The average salary of an entry-level engineer is ₹1,173,074 per annum. As you rise through the ranks, however, you’ll be rewarded with a skyrocketing salary.

The demand for Machine Learning specialists has been creeping upwards day after day, and now there is an incredible shortage in supply. Machine Learning engineer salary in India is making this field worthy.

Salary Based on Location:

Machine learning professionals in India are unique, not only because they work on a large variety of data sets, but more so because of the factors that determine Machine Learning engineer salary in India.

  • Regarded as the Silicon Valley of India for being a major centre for the Information Technology industry, Bangalore is a city that offers the highest salaries for Machine Learning professionals.

  • Chennai is less attractive as a place for hiring Machine Learning Engineers because salaries in the city are on average 5% lower than the national average. 

Machine learning is one of the key driving forces behind technological advancement, making Indian ML engineers a valuable commodity.

Machine learning is a popular profession hired by companies looking for professionals who can utilize and develop predictive models. Machine Learning experts in India can also apply for other jobs too. Machine Learning Engineer salaries in India can vary in these jobs. These are:

S. NO

Top Ranking ML Jobs

Salaries Offered

  1.  

Deep Learning

₹754,250

  1.  

Computer Vision

₹736,976

  1.  

Machine Learning

₹706,169

  1.  

Python

₹612,684

  1.  

Natural Language Processing(NLP)

₹697,670

With a growing number of industries relying more on machine learning, obtaining the role of machine learning professional is surely an asset to one's resume. Thus, the Machine Learning expert salary in India has been top-notch.

Among the largest of recruiters, most employ ML programs in some form. Leaders in the field work to develop and utilize cutting edge ML to drive their process. Machine Learning engineer salaries in India depend on the company that is hiring them.

  • Amazon

  • LinkedIn

  • Accenture

  • Verizon

  • IBM

  • Citrix

  • Tata Consultancy Services Limited

  • Intel Corporation

Machine Learning expert salaries in India are among the highest in the country, with employers offering competitive pay packages to attract the best talent. As demand for ML professionals continues to rise, these prices will only go up.

Conclusion

Machine learning and Artificial Intelligence is a hot topic these days because of the rate at which artificial intelligence has evolved. The truth of the matter is that most companies simply do not have enough machine learning engineers on hand to keep up with the demand from their clients. Those who understand how they work will progress faster than those who don’t.

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