Machine Learning Engineer Salary in India 2024 - GeeksforGeeks (2024)

The position of ML engineer is incredibly valued in the modern world due to the focus on the technological aspects of business. As the majority of industries incorporate AI and machine learning into their processes, the need for qualified people for an ML engineer position is growing rapidly.

This article delves into the salary trends for Machine Learning Engineers in India in 2024, examining factors influencing earnings and regional salary variations.

Current Salary Trends for Machine Learning Engineers in India(2024)

The region, employer or organization, experience level, and employer are some of the elements that affect a machine learning engineer’s pay in India. Here’s a thorough analysis for 2024:

• Entry-Level (0–2 years): Entry-level to this job involves a pay range of ₹ 6,00,000 to ₹ 8,00,000 per annum, and this is for freshmen or those who have less than two years of experience. The annual wage scale varying between ₹4,00,000 and ₹10,00,000 ranges from the entry-level software ML engineers and IT industries, which has been described in the following table.
• Mid-Level (2–5 years): Some of the factors that make this executive role on-demand include that, based on their few years of experience, the ML engineers receive a huge boost in their remunerations. While mid-level professionals in the Indian industry may earn between ₹10,00,000 and ₹15,00,000 per annum, the overlying median scale may incline from ₹8,00,000 to ₹20,00,000 per annum. This often entails certain levels of experience wherein one is likely to engage in compound activities and bigger tasks.
• Senior-Level (5+ years): Senior ML engineers indicate more experience with a salary that is much higher than the average, especially among those with over five years of experience. From this job, they can earn between ₹ 20,00,000 and ₹30,00,000 per annum, but they can rise up to ₹ 50,00,000 per annum. State-of-the-art machine learning and artificial intelligence work involves these professionals in the leadership of a team or core activities on the machine learning system.

Here is the salary breakdown in the table:

Factors Affecting Salary of Machine Learning Engineer in India 2024

Thus, several factors can determine the salary that machine learning engineers want to get in India. This knowledge can be valuable for job seekers seeking better remuneration packages and for anyone who wants to change career paths. Here are some key factors:Here are some key factors:

1. Experience: Skill has a great influence when it comes to remunerations. Employees with more experience are usually paid higher than their counterparts with less experience. Newcomer engineers usually earn less than mid-line or senior engineers since they obviously possess less experience and lower skill levels.
2. Location: These can depend on the city or region that an employee works in, as well as other factors. Employment in the primary sector is scarce, and remunerations paid to employees are comparatively less than those paid to people employed in areas like Bangalore, Hyderabad, or Mumbai.
3. Industry: Carefully choosing an industry to work in can help an individual earn more income, especially if he or she is a machine learning engineer. Emphasis can be placed on factors such as industry that may provide better wages than other industries, such as working in finance or healthcare.
4. Company Size: The remunerations also depend on the size of the company that one is working for or the reputation of the company. Large enterprises with more experienced employees and long-operating businesses oftentimes include higher wages and more privileges in comparison with young startups.
5. Skills: There is a direct correlation between specialization and the possibility of getting a higher salary for specialists who know certain skills and technologies. For instance, knowledge of specific platform facilities such as deep learning libraries, TensorFlow, or PyTorch could help open a better-paying position.
6. Education: The presence of a master’s or Ph.D. usually highlights a relatively higher level of education in comparison to a bachelor’s degree. Thus, those managing to obtain a D. in a related field can expect better-paid positions, particularly when involving research efforts.
7. Certifications: It is also helpful to have relevant certifications in the field of machine learning or a related field, as this will show employers that the applicant is experienced in the field and could yield more lucrative employment opportunities.
8. Job Role: Another significant factor relevant within the machine learning specialization is that it limits the employee to a certain position within the company. This means that the ML engineer who specializes in the research aspect will be paid differently than one who specializes in implementation and deployment.
9. Demand and Supply: A number of factors can affect salaries, such as the shortages or abundance of qualified candidates for an area of ML engineering as well as the demand specifics of a certain industry.
10. Negotiation Skills: Last but not least, self-employment also influences the last offer of the salary in a particular organization through the skills that an individual has in negotiation. Salary and benefits are among the economic outcomes of the negotiating process and if negotiated well, lead to higher compensation.

Conclusion

The salary differences with other countries and roles reveal that although the proper wages for machine learning engineers in India are less than the ones in any country, for instance, the United States of America, machine learning engineers’ wages are highly competitive with other positions in India, like data scientists. In general, machine learning remains a fairly good industry that everyone interested in the technical field could or should pursue in India. Machine learning engineers can therefore serve society effectively and reap the rewards of professional work in this ever-growing and promising area of computer science.

Machine Learning Engineer in India 2024 –FAQ’s

How easy is it for a fresh graduate to secure a job in machine learning as a machine learning engineer?

Indeed, one could easily find positions that are entry-level and require no prior experience from the fresh graduates. Nevertheless, any extra certification, internship, or project that can document the candidate’s experience in practice will be an improvement.

What are the ways one can optimize the machine learning engineer’s salary?

This also means that the emphasis is placed on the continuation of education, the acquisition of experience during an internship or project, and the receipt of the corresponding certificates that will enhance the worth of the contender and open up opportunities for a paid position.

How significant is the role of experience in factoring in the pay for a machine learning engineer?

In this case, employees with prior experience are paid more than new employees when other factors of production have been held constant. They are less paid as compared to mid-level or senior-level engineers, mostly because they are fresh and have less experience and skill set.