MLOps Engineer Salary in India [2024]

The growth of machine learning and data science has led to the creation of specialized roles called Machine Learning Operations, or MLOps. These roles focus on managing the practical aspects of using AI in real-world applications. As more industries around the world start using AI-based solutions, there’s a growing need for skilled MLOps Engineers, especially in India’s rapidly expanding tech sector.

In this article, we investigate the pay rates for MLOps Engineers in India in 2024 wherein we talk about salaries, what determines them, how the market compares, etc.

The remunerations of MLOps Engineers in India are at an ebb and flow largely by factors like the industry, region, firm size, and experience.

MLOps engineers in India bring home an average salary. The average sits around ₹28.4 lakhs ($34,200 USD), but it can range widely. Expect anywhere from ₹21.2 lakhs to ₹63.7 lakhs ($25,400 to $76,200 USD) depending on your experience, location, and skillset.

• Entry-Level (0–3 years): Beginners typically earn between ₹600,000 and ₹800,000 annually. Most entry-level MLOps Engineers hold degrees in computer science, data science, or related fields and might have experience through internships or personal projects.
• Mid-Level (4–7 years): With a few years of experience, MLOps Engineers can command salaries ranging from ₹900,000 to ₹1,400,000. At this stage, they possess a robust understanding of machine learning operations and their practical applications.
• Senior-Level (8+ years): Highly experienced professionals can earn up to ₹1,700,000 annually. Senior MLOps Engineers typically oversee various aspects of ML operations, mentor junior team members, and provide strategic guidance to top management.

Here’s a table summarizing the salary variations across different industries for MLOps Engineers in India, based on general industry trends and the impact these sectors have on demand for MLOps expertise:

The specific skillset of an MLOps engineer can significantly impact their salary. Here are some of the most in-demand skills that can boost your earning potential:

Here is a table representing the salary ranges for MLOps Engineers across different cities in India:

Here’s a comparison table of the salary for an MLOps Engineer versus similar roles in the field of technology and data science. The salaries are averages and can vary based on factors like experience, location, and company size.

• Educational qualifications: A master’s degree in a relevant field like computer science, data science, or engineering can increase your earning potential.
• Certifications: Earning certifications in MLOps tools or cloud platforms can demonstrate your expertise and make you a more attractive candidate to employers.
• Domain expertise: Having experience in a specific industry vertical (e.g., healthcare, finance, manufacturing) can be valuable and lead to higher salaries.
• Company Size and Sector: Larger companies or well-funded startups often have the resources to offer higher salaries compared to smaller firms.
• Role within the Company: The scope of an MLOps Engineer’s responsibilities can also affect salary. Those who lead teams, manage large-scale projects, or are responsible for significant strategic decisions typically earn more than their peers in more junior or less central roles.

The changing landscape of pay for MLOps Engineers in India is a reflection of how important AI and machine learning are becoming to drive digital transformation and corporate innovation. The need for qualified MLOps specialists is anticipated to expand as more businesses engage in ML-driven projects, which should result in competitive pay and plenty of room for career advancement in the years to come.

Do MLOps Engineers get pay raises in addition to any other bonuses or perks?

Yes, there are extra rewards and privileges available to MLOps Engineers, including retirement plans, stock options, health insurance, performance incentives, and chances for training and professional growth.

Are MLOps Engineer wages in India different based on region?

Indeed, the pay for MLOps Engineers varies greatly depending on the location or region; larger cities tend to pay more than smaller towns or cities.

How can MLOps Engineers go about negotiating a better salary?

By demonstrating their experience, emphasizing accomplishments and pertinent abilities, doing market research to establish pay benchmarks, and persuasively conveying their worth to potential employers during wage talks, MLOps Engineers may bargain for better compensation.