The Future of Machine Learning Engineer Salary in India 2026
Key Highlights
The average machine learning engineer salary in India is going up. It should get even higher by 2026.
Freshers in the machine learning job market can make an annual salary from ₹4 Lakh to ₹8 Lakh.
If you have over 5 years of experience, you can get more than ₹20 Lakh in one year.
The salary trends show that having skills in generative AI, MLOps, and deep learning can help you get better pay.
Bengaluru and Hyderabad are the cities in India where machine learning engineers get the highest salary bands.
Introduction
Machine learning is changing the job market in India very fast. There are now many good jobs that also pay well in this field. Many companies want to use artificial intelligence at work. Because of this, they need more skilled ML engineers. If you want to be in this field, you should know about engineer salary trends and machine learning engineer salary. This guide will show you what the machine learning engineer salary may be like in India by the year 2026. It covers people who will be new to the field and those who already have some work years. This can help you get ready for your future in ML.
Why Machine Learning Engineer Roles Are High-Paying in India in 2026
The need for machine learning engineers in India is going up very fast. Many companies want to use artificial intelligence so they can keep up with others. A lot of them are putting more money into this area. Because there is so much need for ml talent, the average salary for these job roles is now higher than many other tech jobs. The salary bands for machine learning engineers have gone up a lot.
The pay for a machine learning engineer can be affected by a few things. These include the growth of generative ai, how much businesses want to use automation, and the type of industry you choose to work in. When we look closer, you will see how these factors can change what people get paid for machine learning jobs in 2026.
AI, Automation, and GenAI Driving Demand and Salaries
The growth of artificial intelligence and more use of automation in many fields is making companies want more ML engineers. Many companies look for ways to be efficient, create new things, and be ahead of others. To reach these goals, they use ml and other new tools. This is why people who can work with or look after tools that use artificial intelligence are now very important.
Now, because generative ai is getting more popular, many companies want people who know how to use large language models (LLMs) and these new tools. This means that the average salary for machine learning experts has gone up. If you can work with generative ai and understand how machine learning works, you can get good pay.
If you are thinking ahead to the future, things look good. Machine learning is here to stay. It keeps growing with new technology. Because of this, the salary of a machine learning engineer in India is likely to rise by 2026 and after. A career in ML can be safe and good for people who want to earn good money.
Industries and Companies Fueling ML Engineering Growth
More people need machine learning skills now in many types of jobs. There are new jobs growing fast in financial services, healthcare, e-commerce, and IT services. All of these need more ml engineers than before. In financial services, ML helps to find fraud and is useful when people want to trade. In healthcare, ML helps with patient care and gives quick answers. The rise in machine learning means there are more jobs out there to get.
The company you join can change the money you get. Global companies and big product-based companies give the best pay. For example, Google, Qualcomm, and Microsoft pay machine learning engineers in India very well. People who have good ML talent at these places can make over ₹40 Lakh every year.
Besides the big companies, many startups and fast-growing businesses in the fintech and e-commerce fields also offer strong pay. They want the best ml engineers, so they pay well to bring them in. Because there are so many who need these machine learning skills, the average machine learning engineer salary stays high in India.
Why Companies Offer Premium Packages for Advanced ML Skills
In today's world, what you get paid often comes from the right skills you have. If you know more about ML, you can earn more. Companies pay well because these advanced ML abilities help them fix big problems and add a lot of value. If you are an engineer who can build a smart recommendation engine or make a good predictive model, you will help your company in a big way.
If you have the right skills in ML, you can do more than the easy jobs. You show that you have what it takes for special work that helps a company grow. These skills often include:
Deep learning uses neural networks to solve hard problems.
Natural language processing (NLP) helps computers work with human words and text.
Computer vision means machines can see and understand pictures. It also carries out tasks like facial recognition.
MLOps is how we use, watch, and grow machine learning models for better work.
This is why it is important to have the right skills and proof of what you know. While having certifications is not like having many years at work, the certificates show your knowledge. They help you get better offers and can make your salary higher. They also show you work hard at learning new things. This can set you apart from others. You may get into better salary bands and get more competitive salaries.
Machine Learning Engineer Salary in India 2026 – Big Picture
The machine learning engineer salary in India is going up because more people want AI. Right now, the average annual salary is about ₹8.3 Lakh in 2024. This pay is likely to rise each year, and it could be even more by 2026. These changes are happening because there are not many people with the right skills, and more companies need to use AI.
Salary bands in India can be very different. It depends on how long you have worked, where your work is, and what you can do. If you are new, you may get a good salary. If you have been working for many years, you may get the best offer in IT. Let's see the numbers in detail.
Average National Salary Range (Monthly & Annual CTC)
Knowing the average machine learning engineer salary can help you plan your career. In India, the annual salary for an ML engineer starts at about ₹3.5 Lakh for people new to the job. If you work up to a senior role, the pay can go over ₹20 Lakh each year. Most machine learning engineers in the country earn around ₹8.3 Lakh per year.
This pay usually comes from a basic salary and some extra pay like bonuses, profit sharing, or commissions. These extras can add a lot to what you get in a year. Bonuses on their own can go from about ₹29,000 up to almost ₹5,00,000. The final amount depends on the company and how well you do your job.
Here is a quick look at the average salary bands in India. This will help you see the earning potential in the country.
Level | Average Annual Salary (CTC) | Average Monthly Salary (Approx.) |
|---|---|---|
Entry-Level | ₹4 Lakh - ₹8 Lakh | ₹33,000 - ₹67,000 |
Mid-Level | ₹10 Lakh - ₹18 Lakh | ₹83,000 - ₹1,50,000 |
Senior-Level | ₹20 Lakh - ₹35 Lakh+ | ₹1,67,000 - ₹2,90,000+ |
Year-on-Year Salary Growth Trends from 2024 to 2026
The salary of a machine learning engineer in India is rising. People who study salary trends say the salary of a machine learning engineer could go up by 15 to 20 percent each year until 2026. This is happening because there are not enough ml engineers with the right skills. More people want to hire good ml engineers, and this makes the pay go up for those who do this work.
Many companies now use machine learning and AI in their daily work. Because of this, they need more ml engineers. As the number of jobs for machine learning engineers goes up, their pay also gets better each year.
If you work in ml or want to start, this is good news. Your skills will be worth more in time. You can also earn more once you learn new things and get more practice in this field.
ML Engineer Salary Comparison: Freshers vs Experienced Professionals
The gap in annual salary between people who are new to machine learning and those who have some experience is big. This means there is a clear path for you to move up in your career. If you start as an entry-level engineer in machine learning, you can get a good salary from the start. But when you have more experience, your pay can go up even more.
If you are new in this field, you can get a salary between ₹4 Lakh and ₹8 Lakh each year. This is a good start if you want to be in the tech world. But the amount can be different for each person. It depends on your schooling, any internships you have done, and the place where you work.
If you have worked for more than 7 years in ml, you can get the highest salary. It is possible to earn over ₹20 Lakh, and even up to ₹25 Lakh in a year. At some of the best companies, senior ml engineers and team leads can reach even higher salary bands. They may get ₹35 Lakh or more in one year. This shows there is a lot of value for what senior ml engineers do and how much people in this field can get paid.
ML Engineer Fresher Salary in India for 2026
For people who are new to machine learning in India, the pay is good. If you work as an entry-level machine learning engineer, you get one of the best salaries for a fresh job in the field. This tells us there is a high need for people with these skills in India.
The average salary for beginners in machine learning is good. But, it can go up or down. A lot of things can change what you get. The skills you have, the jobs you work on, and the city you work in are important. Let’s talk about how much you can make. We will also talk about how you can get the most out of your starting engineer salary if you are in machine learning.
Entry-Level Pay, Hidden Perks, and Common Inclusives
An ML engineer who starts in an entry-level job role can earn between ₹4 Lakh and ₹8 Lakh a year. If you come from a top college or your skills are very good, you may get a job offer at the higher end of this range. These ml job roles help new people join the AI world of a company.
Salary is only part of what you get from a job. There are other things that can make your pay feel higher. Perks and extra benefits are some of them. These things add up, but you may not hear about them much when you first see your salary offer.
Here are some things you may see when you get an entry-level ml job offer. These can help you get more from the offer:
You can get bonuses based on how well you do your work.
Many startups give stock options or ESOPs.
There is health insurance and some other wellness benefits.
You may get money for learning and development.
Core Skills and Projects That Boost Fresher Packages
If you want to get a good fresher package, you need to show you have the key skills people want in machine learning and data science. Recruiters are not looking for someone who just knows the theory. They want you to use your skills in real work. You have to be good at Python since it is used a lot in machine learning.
You should know the main ideas about machine learning. It is good to learn about algorithms. You need to talk about supervised, unsupervised, and reinforcement learning. Also, it helps to do hands-on projects. When you work on real problems, you show what you can do with your knowledge. This will set you apart from others.
If you want to get a higher starting pay, work on these main skills and projects. You should know about machine learning, computer vision, deep learning, and natural language processing. Learning more about natural language will help you too. These are the skills that help you get better jobs in this field.
You need to be good at using Python. You should also know the main data science tools like NumPy and Pandas.
You should know how deep learning tools like TensorFlow or PyTorch work.
You need to have worked with natural language processing (NLP) or computer vision projects before.
You should show a strong set of finished projects on your GitHub or Kaggle accounts.
You have to understand basic ideas about data structures and algorithms.
This mix of hands-on skill and the right projects can help you get a good start in your career.
How Internships and Hands-On Projects Impact Starting Salary
Internships and hands-on projects are more than things you put on your resume. They can really help your starting pay. If you are new in the field, and want to work as a machine learning engineer, it is important to get this kind of practice. With real work, you can show companies that you are able to use what you learned in class to solve problems they see every day. Most companies want this in their machine learning engineers.
Many companies will pay a higher starting salary if you have done the right internship. This is because an internship lets you see how people work in the industry. You learn what tools they use and what hard problems they face every day. This helps the company save time. They will not have to spend as much time training you. That is why they want to hire you.
Also, when you have a good list of your own projects, it helps you look good. It shows that you care about the work and want to learn. It is a way to show other people what you can do. If you want to grow in your job and stand out as great ml talent, doing ml internships and working on ml projects is a good way to get a better job offer when you start.
Salary Differences by Experience Level for ML Engineers
As you get more years of experience, you will see the pay differences for machine learning jobs grow bigger. In India, the salary landscape shows this. The more skills and good work you have done, the higher you can get paid. A machine learning engineer with some years of experience makes a lot more money than someone who is just starting out. Senior professionals get some of the best pay in tech.
You can see pay growing like this not just across the nation, but also in top tech cities. For example, the machine learning engineer salary in Hyderabad goes up quickly as you have more years of experience. Sometimes, what you get paid is even higher than what most people in the country make. Here’s a look at how much you might get at each point of your career as a machine learning engineer.
Compensation for 1–3 Years, 3–5 Years, and Senior ML Roles
Machine learning engineers see better pay as they get more years of experience. If you are in this field and have one to three years of experience, your salary can go up. Most of the time, it can be from ₹8 Lakh to ₹16 Lakh each year. At this stage, you have to handle more of the work by yourself. You will also need to be part of bigger projects.
When you have three to five years of experience in machine learning, you are much more valuable to your company. Most people with this much time in ml can get paid between ₹14 Lakh and ₹22 Lakh each year. Your pay goes up because you know more about the work in machine learning. You may lead small teams or work on projects, and this can also help you get more pay.
If you are a senior ml engineer and have been in the field for more than five to seven years, you can get paid a lot. Many people earn more than ₹20 Lakh to ₹25 Lakh. Top ml jobs at leading companies go up to ₹30 Lakh or more. At this level, your pay is tied to your leadership skills. Your skills in ml also make a big difference in how much you get.
Leadership, Specialized Domains, and Career Milestones in ML
As you keep learning about machine learning, your pay can get higher as you take bigger steps in your job and pick an area to focus on. If you get into a leadership role, your salary can rise fast. For example, jobs such as Lead Machine Learning Engineer or AI/ML Architect ask you to do more work. But, these roles also give you more money.
These jobs in machine learning and ml are in-demand in Hyderabad and other places.
You can also get a higher salary if you are an expert in a special field. There is a big need for people who know a lot about computer vision or deep learning. Many companies look for people who have skills in machine learning or natural language processing. They will pay more for this kind of know-how.
Here are some key things you can do in your work life to help you get more money:
Go from doing tasks alone to working as a team lead or a manager.
Be one of the main experts in deep learning or generative ai.
Be the one to take on every step when starting and building a large AI product.
Salary Acceleration with Certifications and Industry Credentials
In machine learning, having certifications or other badges from the industry can help you get a better salary. Experience is still the most important thing. But, a certification shows you have the right skills for the job and you want to learn about new things in this work. This can help you when you talk about your pay in bangalore.
Many employers think that certifications are a good way to see what you can do with ml tools and platforms. If you are in the ml talent group and want to get competitive salaries, credentials from well-known places can help you. They show that you have the ml skills businesses look for.
Some certifications can help you make more money at work.
Google TensorFlow Developer Certification
AWS Certified Machine Learning - Specialty
Microsoft Certified: Azure AI Engineer Associate
If you complete a planned course from an AI training school in Hyderabad or any other city that helps you get ready for these certifications, you may raise your income a lot.
City-Wise Machine Learning Engineer Salary in India
The machine learning engineer salary in India can change based on where you live. Big cities with large technology companies, well-funded startups, and a high cost of living usually offer higher salary bands. The place you live in will have a big impact on the machine learning engineer salary you get every month. It also affects how much you can save from your pay.
Knowing about these city-wise pay gaps is good for your career. It can help you think about if you want to go to a new city or if you should take a job offer or not. Now, let's check out the average salary that machine learning (ML) engineers get in Hyderabad. We will see how it is compared to other big cities in India. This will help you find out where the best jobs for ML engineers are.
ML Engineer Salary in Hyderabad vs Other Major Cities
The ML engineer salary in Hyderabad is one of the highest in the country. People with ML skills can earn an average salary of about ₹11.4 Lakh to ₹12.5 Lakh per year. This engineer salary is much higher than what you see in many other places across India. The city has a strong IT sector and several big tech companies, which help drive these good pay packages for ML engineers. These things make Hyderabad a top choice for many who want to work in ML.
When you look at other cities, Hyderabad is strong. Bangalore often has the highest salary bands, but Hyderabad also gives good pay. At the same time, it has a lower cost of living, which means you can save more. Cities like Mumbai and Chennai have competitive salaries too. Still, Hyderabad gives you a high salary and a good life, and that is something many people like.
Here’s a look at the average ml engineer salaries in some big cities in India:
City | Average Annual Salary (Approx.) |
|---|---|
Bangalore | ₹11.5 Lakh - ₹15 Lakh |
Hyderabad | ₹11.4 Lakh - ₹12.5 Lakh |
Mumbai | ₹8.5 Lakh - ₹11.5 Lakh |
Pune | ₹7.1 Lakh - ₹7.8 Lakh |
Chennai | ₹7.7 Lakh - ₹8.0 Lakh |
Delhi NCR | ₹8.8 Lakh - ₹10.5 Lakh |
Startup, MNC, and Remote Opportunity Salary Comparisons
The kind of company you work at can change how much you make. A large Multinational Corporation (MNC) often gives good pay and many extra benefits. The company is also seen as a steady place to work. At a startup, the pay may not be high at first. But you might get stock options (ESOPs). These can help you earn much more money later.
Remote work is changing how ML salaries are set. If you work from home in India, your pay can be like what people get in big tech cities such as Bangalore or Hyderabad, even if you do not live in those places. This helps people from smaller cities get good jobs and keep up with others in top cities.
The best pay is still in global remote roles. If you work for a company in the US or Europe while living in India, you can get two or three times more than what most people earn at local jobs.
MNCs: There is a high base pay and you get good benefits.
Startups: The pay is competitive and you get high-growth stock options.
Global Remote Roles: These roles have the highest chance to earn more money, and you are often paid in foreign money.
Cost of Living, Relocation, and Work Flexibility Impact on Pay
When you look at the salary landscape in India, it's good to think about more than just the numbers. The cost of living in each city is key for your real savings and how good life can be. For example, getting a high salary in Mumbai may not be a big help since things cost more there. But in Hyderabad, where prices are lower, you might feel like you have more, even with a smaller salary.
Now, work flexibility is starting to change how people get paid. Some companies let people work fully remote or use a hybrid model. They might also change what they pay based on where you live. But many other companies now give the same pay to all, no matter where you are. They do this because they want to get the best people no matter where they live.
When you look at a job offer, think about the things below:
A high salary in a city where it costs a lot to live, or a good salary in a city where things cost less.
The company gives money to help you move and helps you get started in the new place.
In the end, the best offer is the one that gives you good pay and a life that fits you. You should think about the money, but also what will make you happy and feel comfortable.
ML Engineer vs Data Scientist Salary in India 2026
When people look at job roles in AI, many think about being an ML engineer or a data scientist. Both are needed and pay well. But, they are not the same. Their tasks at work are different, and because of this, their pay can also change. If you know how much each job gets, it can help you choose the one that is best for you.
In India, you can make good money in both jobs. Still, how much you get paid can go up or down. This can happen if you have more or less time working, or if the company wants something special. Let's look at how these two jobs compare when it comes to pay and what you get out of them over time.
Day-to-Day Responsibilities and Skill Set Differences
The job roles of a machine learning engineer and a data scientist are related, but they are not the same. A data scientist works with the data to find answers. They also build first models to solve business questions. Most of the work a data scientist does is with numbers and data. They show their findings in charts or graphs.
A machine learning engineer works with models from data scientists. They get these models ready to use in real products. The job is to make sure the models run well and fast. They also build strong data pipelines and use these models in systems that can grow over time. Their skills are better in software development, coding, and ml operations.
Key differences in what they do are:
Data Scientist: Works with early data. Checks ideas. Makes early models.
ML Engineer: Works on ml software. Puts models into real use. Makes sure things can grow. Sets up things that run by themselves.
It is good to know about the different machine learning job roles. This can help you find a career that fits what you like and what you do well.
Salary Range at Entry and Experienced Levels: ML vs Data Science
The salary of an ML engineer and a data scientist is high. Both job roles offer good pay, but there are small differences between the two. When you start out, the salary for a new ML engineer and a new data scientist is almost the same. This is because both jobs need you to know about data and be good at programming.
As people get more experience, you can see the pay gap become clearer. Many data scientists who have strong skills in their field or work in jobs that focus a lot on research, may get paid a bit more. On the other hand, if you are an experienced ML engineer who is good at software development and has some MLOps skills, you are also in high demand. ML engineers can get the same pay or sometimes even more than data scientists in this area.
Here’s a look at how salary can be different based on experience level:
Experience Level | ML Engineer Salary (Annual) | Data Scientist Salary (Annual) |
|---|---|---|
Freshers (0-2 years) | ₹6 Lakh - ₹9 Lakh | ₹6 Lakh - ₹10 Lakh |
Mid-Level (3-6 years) | ₹12 Lakh - ₹20 Lakh | ₹14 Lakh - ₹22 Lakh |
Experienced (7+ years) | ₹25 Lakh - ₹40 Lakh+ | ₹28 Lakh - ₹45 Lakh+ |
Long-Term Career and Salary Growth Potential by Role
The career growth for ml engineers and data scientists is strong. These jobs also offer high pay. Both play an important role in the AI field. The job market for both is expected to keep getting bigger. So, if you are choosing between them, think about what you like to do. Both ml engineers and data scientists earn good pay in the long run, so it is best to pick what fits your own interests.
Data scientists can move up to jobs like Principal Data Scientist or Head of Analytics. They play a big part in setting the direction for the company with what they find from the data. Their pay gets higher as they get better at using data to help the company make good choices and get real results.
If you are one of the ml engineers, there are roles you can aim for. You might become an ML Architect, an MLOps Lead, or the Head of AI Engineering. The more they work on making AI systems good and solid for the company, the higher their salary will be. As the years go by, senior ml engineers and data scientists usually see that their pay is almost the same at the top.
You can see the job market is strong for ml engineers and data scientists. There is a lot of room for career growth here. The future looks good for both. If you are thinking about working in ml, this may be a good time to get started.
Technical and Soft Skills That Raise ML Engineer Salary in 2026
If you want a top machine learning engineer salary in India, you need to have strong technical skills and good soft skills. Your work depends on what you know about machine learning. But you also need to talk clearly and work well with other people. These skills help you move up in your job faster and can help you make more money.
Employers want more from people than just being able to write code. They want people who understand the business. They also want you to be able to work with a team and fix real problems that come up. Here are some skills that can help you make more money as a machine learning engineer in 2026.
Must-Have Tech Stack: Python, Algorithms, Deep Learning, GenAI
If you want to get the highest salary as an ML engineer, you need to know which tech you use for machine learning. Python is the top language to use. It is easy, and there are many good libraries for it. You should also know about data structures and algorithms. This will help you write code that works well and runs fast.
If you know more than just the basics, learning deep learning can help you make good money. You need to be able to use tools like TensorFlow and PyTorch. These help you build neural networks. You use them for jobs like working with images or handling natural language work.
Today, if you are good at generative ai, you can make more money. When you know about LLMs and what they do, you have a good shot at getting one of the best-paying jobs.
Python: Knowledge of Python and top libraries like NumPy, Pandas, and Scikit-learn.
Deep Learning: Use of deep learning with the help of frameworks such as TensorFlow and PyTorch.
Algorithms: A good grasp of main ML algorithms.
Generative AI: Work with generative ai, including LLMs and tools that go with them.
Importance of Cloud, MLOps, and LLM Experience
Today, machine learning often works together with the cloud. Many companies look for ML engineers who can use cloud platforms such as Amazon Web Services (AWS), Google Cloud, or Microsoft Azure. These cloud tools help ML engineers train and launch big machine learning models with no trouble.
MLOps means Machine Learning Operations. It is now very important. It uses DevOps ideas for the machine learning work. The main goal is to make building, testing, and launching machine learning models easy and fast. This is good for any business that wants to use AI on a big scale.
Having real-world experience with large language models is now very important. Many companies want to make apps that use GenAI features. This is why people who know how to work with and adjust large language models can earn a high pay in this field.
Cloud Platforms: You need to know about AWS, Google Cloud, or Azure.
MLOps: You should know how to launch models, make sure they work right, and set up steps that do things on their own.
LLM Experience: You must know how to use and set up large language models.
Communication, Collaboration, and Project Delivery Influence
In today's salary landscape, it is not enough to know only machine learning or other technical things. You need to have good soft skills, too. Things like talking well with people and working together help you do well as a machine learning engineer. These soft skills can also help your pay grow. If you can make hard machine learning ideas easy for others to get, like product managers or business leaders, then you have a skill that is in high demand.
Working well with others is also important. A lot of machine learning work is not done by just one person. You need to work with data scientists, software engineers, and people from the product team. If you help your team and get along with them, the project will go better.
In the end, the way you stand out at the company is by what you get done. If you are good at project management and know how to solve problems, you will be able to handle tough times and finish work when you need to. Machine learning engineers who finish their work on time and do a good job often move up faster and get better pay.
How to Fast-Track Your Machine Learning Engineer Salary
If you want to make your salary grow faster as an ML engineer in India, you need to have a good plan. It is not just about learning the key skills, but you must know how to show these skills well. You should work on building a strong base and keep learning new things all the time. If you do this, you will have a better chance of getting good jobs that pay more in the long run.
When you stick to a clear way of learning, do things yourself, and ask experts for help, you can see things get better. A school like SocialPrachar helps with this in india. The school gives you the tools and support you need. This can help you move up in your work life and get a good job as an ml engineer in india.
Roadmap: From Learning to Landing High-Paying ML Roles
A good plan helps anyone who wants to see their career growth as a machine learning engineer. You should start by learning the basics. Take it step by step and build new skills over time. This way, you can learn every key skill you need to grow, so you can earn more in your job.
You start by learning the basics of machine learning. When you feel good about it, you can look for fields that a lot of people need. This will help you get some of the best jobs out there. Many people join a machine learning course in hyderabad because it gives you all the important skills you need.
Here's a sample roadmap you can use:
Foundation: Start by learning Python. You should also know some statistics and study simple ML algorithms.
Advanced Topics: Learn more about deep learning, computer vision, and NLP.
Specialization: Choose a fast-growing area to focus on, like MLOps or generative ai.
Practice: Work on real-world projects. This will help you show your computer vision, algorithms, deep learning, python, ml, and NLP skills.
These steps can help you get started in machine learning. They can also help you find a good job in this fast-moving field.
Building Projects, Showcasing on GitHub, and Interview Preparation
It is good to get some knowledge from books, but what people who hire look for the most is real work on actual projects. When you make and show your work on GitHub, people can see what you do in machine learning. Your GitHub page is like a live resume. It helps people see your coding and how you solve problems.
You need to show that you can work on all parts of a machine learning project. This goes from using data to testing how well your model does. Doing this kind of work is very useful. It also gives you a lot to talk about in an interview.
In the end, you need to get set for interviews. Take some time to practice coding tests. Make sure you can talk about your projects in detail.
Make new and different machine learning projects to add to your collection.
Keep your GitHub profile up to date and simple for others to read.
Work on practice problems for ML interviews and system designs.
The SocialPrachar Advantage: Real-World Projects and Placement Assistance
To be seen in the job market, you need the right training. SocialPrachar gives people who want to be ml engineers skills that companies need now. The training here is made by people who work in ml, so you get real skills that help you get a good job in hyderabad or other places.
The main part of our training is to work on real-life ml and genai projects. You do not just read about the ideas. You use them in projects that help fix problems for real businesses. This hands-on way of learning helps give you experience. It will make your portfolio stand out. As a top ai training institute in hyderabad, we work hard to make sure you are ready for any job.
We also help you after the training. You will get support to find jobs in the ml job market. With this, you can be ready to start working and earn a good salary.
Real-Time ML and GenAI Projects: You will work on real projects in ML and GenAI. These will help you make a portfolio that can get you noticed by recruiters.
Placement-Focused Training: Get ready for jobs with practice interviews and new resumes. This way, you can show your best side to companies.
Conclusion
In short, the future looks good for machine learning engineers in India as we go toward 2026. The need for skilled people in machine learning is rising because there is more work in AI, automation, and GenAI. This means many companies now give good and competitive salaries to get the best people for the job. It does not matter if you have years of experience or if you are just starting out. You need to know about the pay scale and how you can grow in your work across different cities and stages. This will help you make smart choices for your career.
If you want to make more money in machine learning, SocialPrachar can help you. They let you work on real-time projects. They give you training that matches what companies need. They also help you find a job. Don’t wait if you want to build your skills and get a better job. Book your free chat now!
Frequently Asked Questions
What is the average machine learning engineer salary in India in 2026?
By 2026, the average machine learning engineer salary in India will be between ₹10 Lakh and ₹12 Lakh every year. The salary bands are wide, so a fresher may get less pay. Someone with more experience can get a much higher annual salary. If you work for several years, you might take home above ₹25 Lakh in one year as a machine learning engineer.
What is the ML engineer fresher salary in India?
The average salary for a new ML engineer in India is usually between ₹4 lakh and ₹8 lakh per year. If you studied at a top university, the average salary can be more. Your salary can also go up if you have done good internships or finished strong projects.
How does SocialPrachar help in becoming a high-paid ML engineer?
SocialPrachar lets you learn the key ml skills that help you become a well-paid ML engineer. You get to work on real projects and learn lessons that companies look for. The team helps you with things you need for jobs, like working on your resume and practice interviews. This helps you feel sure and get ready for good jobs where your pay can grow fast.
Is there a difference in salary between machine learning and data science roles in India for 2026?
Yes, there is usually a pay gap between machine learning and data science jobs in India. This is likely to stay the same until 2026. Both jobs are connected to each other, and they may overlap at times. But they have their own focus and need different skills. This can lead to a difference in pay.
Data Science Roles:
Data scientists are people who work with large sets of data. They use statistical analysis, charts, and different tools to find meaning in the numbers. A big part of their work is to clean, sort, and read the data. This helps businesses in India to make better choices. For someone starting out in data science, the salary is usually between ₹6-10 lakhs per year. As they get more skill and time in the field, data scientists in India can earn from ₹15-30 lakhs per year, and sometimes more, based on the company and what they know.
Machine Learning Roles:
Machine learning engineers are people who design and build machine learning models. These models help systems learn from data on their own. A person working in this job needs good programming skills. Most often, they work with Python or R. They also need to know about algorithms and how to make models work better. Sometimes, they also need to know about big data.
Because machine learning engineers need strong software development skills, the pay for this job is usually a bit more than what data scientists make. At this time, ml engineer salaries in India can start at about ₹8-12 LPA for someone just starting out. The pay can go up to ₹20-40 LPA or more for people who have a lot of experience or work in top tech companies.
Factors Influencing Salary Differences:
Skill Set: Jobs in machine learning call for strong know-how in algorithms. There is also a need to handle MLOps, work with cloud platforms such as AWS, and have background in software development methods.
Industry Demand: By 2026, the use of AI will go up in several fields such as finance, healthcare, online shopping, and cars in India. Because of this, there will be a higher need for skilled ML talent. This also means people working in ML will get better pay.
Company Type: Startups can give out shares of the company or pay extras based on work performance. Big global companies, on the other hand, often pay a higher standard salary.
Location: Pay is usually higher in big cities like Bangalore, Hyderabad, Mumbai, Pune, and Gurgaon. This is because most tech companies are found in these places.
2026 Outlook:
The year 2026 looks important for jobs in india. Recent industry reports and projections show this. Recruitment agencies like Naukri.com and Glassdoor India have shared the way hiring and work trends are moving in india.
The gap in average salary between ML engineers and data scientists may get even bigger. This is because many companies now want people who can build AI-driven solutions that grow with their needs.
Learning more about advanced machine learning frameworks can help you move up in this field.