The salary of an AI and machine learning engineer is becoming an important topic for IT professionals in India. As more companies use artificial intelligence to improve their products and services, the need for people who can build and manage AI systems is growing. However, the salary offered for these roles depends on several factors, including work experience, technical skills, company type, and the kind of projects handled.
For professionals already working in Python development, data engineering, or software development, moving into artificial intelligence and machine learning can be a possible next step. Their existing coding knowledge can help them learn new skills and understand how machine learning models work. At the same time, entering this field requires practical knowledge and the ability to solve real business problems.
In this guide, we will explore AI ML engineer salaries in India in 2026, compare pay across experience levels and industries, and explain how experienced IT professionals can prepare for a career in machine learning.
AI and ML Engineer Salary in India 2026: An Overview
The salary offered to an AI ML engineer in India varies from one company to another. Some companies hire engineers to develop machine learning models, while others need professionals who can add AI features to existing products. Since these roles have different responsibilities, their pay packages can also differ.
The average salaries reported on platforms such as Glassdoor can help job seekers understand the market. However, salary estimates are based on information submitted by employees and other available data, so they should be treated as guidance rather than a guaranteed offer.
Average Annual Salary of AI Engineers in India
The average salary of an AI engineer depends on the type of work they do, their experience, and the company they join. An engineer who builds AI-powered applications may have different responsibilities from someone who develops machine learning models or works on deep learning systems.
In India, salaries are often discussed in LPA, which means lakh per annum. For example, a package of ₹8 LPA represents an annual salary of ₹8 lakh before applicable deductions and depending on the structure of the package.
When comparing salary figures, check whether the amount refers to fixed pay or total compensation. A high salary package may include bonuses, incentives, or stock benefits in addition to fixed annual pay.
Machine Learning Salary: What Professionals Can Expect
The salary for AI and machine learning roles depends on the skills a professional can apply at work. Engineers who understand Python, data handling, machine learning algorithms, and model testing may qualify for different opportunities depending on their practical experience.
A professional who can build a model is valuable, but companies may also look for someone who can connect that model to an application, manage data pipelines, and maintain the system after launch. These additional skills can influence the salary offered.
For this reason, anyone planning a career in machine learning should look beyond average salary figures. Understanding the job requirements and building relevant project experience can help them prepare for suitable roles.
Factors That Influence an AI/ML Engineer’s Salary Package
Several factors affect the salary of an AI engineer in India:
- -> Relevant experience: Professionals with experience in software development, Python, or data engineering may already have skills that are useful in AI/ML projects.
- -> Technical knowledge: Python, statistics, machine learning algorithms, deep learning, and data processing are useful foundations.
- -> Project experience: Building and testing working solutions helps demonstrate how well a candidate can apply their knowledge.
- -> Company type: Product companies, IT service companies, startups, and large technology firms may offer different salary packages.
- -> Job responsibilities: Developing models, deploying AI systems, and maintaining them in production require different levels of knowledge.
- -> Location: Salary ranges may differ between Bangalore, Chennai, Hyderabad, Pune, and other cities.
Considering these factors gives a clearer picture of salary opportunities than looking at one average figure alone.
Experience-Wise AI and ML Engineer Salaries in India
Experience plays an important role in salary growth. However, the number of years worked does not tell the whole story. Companies also consider the projects completed, the problems solved, and the ability to use AI tools in real applications.
The following ranges are broad estimates for understanding the market. Actual offers may be lower or higher depending on the employer and the candidate’s skills.
Salary Expectations for Entry-Level AI and ML Roles
The starting salary for AI/ML roles can vary widely. Some entry-level positions offer around ₹4–8 LPA, while candidates with strong technical skills and relevant project experience may receive higher offers. Instahyre’s 2026 salary guide also shows that entry-level pay differs by company type and role.
For freshers, getting the first job can be challenging because employers may prefer candidates who already understand programming, data handling, and basic machine learning. Completing a course alone may not be enough to qualify for every AI job.
A practical approach is to build a strong foundation in Python, work on real projects, and consider related entry-level roles in software development, analytics, or data engineering. These roles can help candidates gain experience that may be useful when applying for machine learning positions later.
AI/ML Engineer Salary After 2 Years of Experience
Professionals with around two years of relevant experience may have better opportunities if they can show how their work has helped a company. For example, a Python developer who has worked with APIs and databases may already understand parts of the process needed to build an AI-powered application.
Similarly, a data engineer who has managed data pipelines may have useful experience for preparing data used by machine learning models.
The ML engineer in India salary range for this experience level can differ considerably between employers. Recent salary data from Flexiple shows a median of about ₹9.6 lakh per year for machine learning engineers with two to five years of experience. This is a market reference, not a guaranteed salary for every candidate.
Salary Growth for Mid-Level Machine Learning Engineers
As professionals gain more experience, they may take responsibility for selecting suitable ML algorithms, testing models, improving accuracy, and helping deploy models into working systems.
Mid-level engineers who can handle these tasks independently may be considered for better-paying roles. Their salary depends on the business value of their work, the size of the systems they manage, and their ability to work with other teams.
Learning deep learning or improving knowledge of model deployment can also help professionals qualify for specialised positions. However, these skills are most useful when supported by practical work rather than certificates alone.
Senior Machine Learning Engineer Salary in India
Senior engineers often handle more complex projects, guide other team members, and make decisions about how AI systems should be built and maintained. Their responsibilities may include improving system performance, managing production issues, and ensuring that models continue to work as expected.
Professionals with around 7 to 10 years of relevant experience may be considered for senior or lead roles, depending on their career path. Flexiple’s 2026 salary data reports a median of about ₹29.9 lakh per year for machine learning engineers with eight to twelve years of experience. Actual pay varies by employer, role, and total compensation structure.
AI and ML Engineer Salaries by Industry in India
Not every industry uses artificial intelligence in the same way. Some companies build AI products for customers, while others use machine learning to improve internal processes. These differences can affect the salary package offered to engineers.
AI and ML Salaries in IT Services and Product Companies
IT service companies may work on AI projects for different clients. Product companies, on the other hand, may hire engineers to build and improve their own software products.
The salary of an AI engineer can differ between these employers because the role, project budget, and required skills are not always the same. Some product companies offer higher packages for specialised skills, but this does not mean every product company pays more than every IT service company.
When comparing offers, check the responsibilities, learning opportunities, fixed salary, bonus, and other benefits instead of judging the role by the company name alone.
Machine Learning Engineer Salaries in Fintech, Healthcare, and E-commerce
Fintech companies may use machine learning to identify unusual transactions, assess risk, or improve customer services. Healthcare companies may use AI to support medical research and analyse data, while e-commerce businesses may use it for recommendations and demand planning.
These applications require different levels of technical and industry knowledge. A machine learning professional who understands both the technology and the problem being solved may be better prepared for specialised roles.
The salary depends on the actual work involved, the level of responsibility, and the company’s hiring needs.
How Startups and Large Companies Structure AI/ML Salary Packages?
Startups may offer opportunities to work across several parts of an AI product, including data preparation, model development, and application building. However, their salary budgets and additional benefits can vary.
Large companies may offer more structured pay, bonuses, and other benefits. Some also provide stock-based compensation. Before accepting an offer, compare the fixed annual salary with the full package to understand how much you will actually receive.
AI and ML Engineer Salary in Bangalore and Other Indian Cities
Location can influence salary because cities differ in their concentration of technology companies and the number of specialised roles available.
AI Engineer Salary in Bangalore
Bangalore has a strong technology job market, including companies working on AI, cloud services, and software products. This can create opportunities for experienced engineers with suitable skills.
Flexiple’s 2026 data reports a median machine learning engineer salary of about ₹19.9 lakh per year in Bengaluru, compared with ₹8.6 lakh in Chennai. These figures are based on different sets of reported compensation records and should be treated as market indicators, not guaranteed offers.
Machine Learning Engineer Salaries in Chennai, Hyderabad, Pune, and Delhi NCR
Hyderabad, Pune, Chennai, and Delhi NCR also offer opportunities in software development, data engineering, analytics, and AI-related work. The available roles and salary levels vary by employer and specialisation.
When comparing cities, look at the number of suitable vacancies, the cost of living, travel expenses, and the possibility of working remotely. A higher annual package does not always result in higher savings.
Does Location Affect the Annual Salary of an AI/ML Engineer?
Yes, location can affect salary, but it is only one factor. A skilled engineer working in Chennai may receive a better offer than another candidate working in Bangalore, depending on the company and responsibilities.
Instead of moving to a city only because of its salary reputation, compare actual job openings and the skills they require.
Similar Designation Salaries: AI Engineer vs ML Engineer and Other Roles
Job titles can sound similar while involving different responsibilities. Understanding these differences helps professionals choose a career path that matches their current skills.
AI Engineer vs Machine Learning Engineer: Salary Comparison
An AI engineer may build applications that use AI models, connect AI services to software, or develop systems that automate tasks. A machine learning engineer usually focuses more on preparing data, training models, testing results, and deploying them.
There is overlap between the two roles, so their salary ranges may also overlap. The best comparison is between job descriptions with similar experience requirements and responsibilities.
Data Engineer vs Python Developer vs ML Engineer Salary
Data engineers build and maintain systems that collect, process, and store data. Python developers use Python to build applications, services, and automation tools. ML engineers use data and algorithms to build systems that learn from patterns.
Professionals in these roles may already have useful skills for an AI/ML career transition. For example, a Python developer may understand application development, while a data engineer may be familiar with data pipelines. Both may need additional knowledge of machine learning before moving into a dedicated ML role.
Salary Insights for Data Scientists, MLOps Engineers, and Applied AI Engineers
Data scientists often analyse data and build models to answer business questions. MLOps engineers help deploy, monitor, and maintain machine learning systems. Applied AI engineers focus on using AI models to solve practical problems through software.
The highest salary is not always linked to one designation. It depends on the role, company, skills, and level of responsibility.
Career Transition into AI and Machine Learning from Existing IT Roles
Moving into AI and machine learning does not always mean starting your career from zero. Professionals who already work in software development, Python programming, or data engineering may have a useful foundation for learning AI-related skills.
However, the transition takes preparation. Employers still need candidates who can apply their knowledge to real problems rather than only explain concepts in an interview.
Can Python Developers and Data Engineers Move into AI/ML Roles?
Yes. Python developers and data engineers can explore AI/ML roles by building on their existing technical knowledge.
Python developers can learn how to prepare data, use ML libraries, and connect trained models to applications. Data engineers can build on their understanding of data pipelines and storage to learn how data is prepared for model training.
The next step is to complete relevant projects and understand the full process, from preparing data to testing and using a model. This can help demonstrate readiness for suitable roles.
How Existing Software Development Experience Helps in Machine Learning?
Software development experience can be useful because AI applications still need clean code, APIs, databases, testing, and maintenance.
For example, a developer who has built web applications may learn to connect a machine learning model to a website or business tool. Someone with data engineering experience may work on preparing reliable data for that model.
These skills do not replace machine learning knowledge, but they can make the learning process more practical.
Skills to Build Before Applying for an AI or ML Job
Start with Python, basic statistics, data preparation, and common machine learning algorithms. Then learn how supervised and unsupervised learning work and how to check whether a model produces useful results.
Once these foundations are clear, explore deep learning or other specialised areas based on the roles you want to pursue. Build projects that solve clear problems and explain the choices you made.
How to Present Existing Experience When Moving into AI/ML
Update your resume to show relevant programming, data handling, and problem-solving experience. Include AI/ML projects that explain the problem, the tools used, your approach, and the result.
Be honest about your experience. If you have built practice projects but have not used machine learning in a professional setting, describe them accurately. A clear account of your existing work and newly developed skills can help employers assess your suitability.
How to Become a Machine Learning Engineer in India
A career in machine learning requires a mix of technical knowledge, practical work, and continuous learning. Professionals do not need to master every AI topic at once. They can build their skills step by step.
Required Skills to Become a Machine Learning Engineer
Begin with Python, data handling, statistics, and basic mathematics. Learn how to clean datasets, train models, compare results, and identify common errors.
After that, practise using machine learning libraries and learn how to deploy a model in a working application. Understanding how to maintain a model is also important because its performance may change when new data becomes available.
How to Become an AI Engineer: Python, Mathematics, and AI Tools
To become an AI engineer, first understand programming and the basics of machine learning. Next, learn how AI models can be connected to applications and used to solve specific problems.
You can then explore deep learning, language models, and other AI tools based on the job roles that interest you. Choose skills that match real job descriptions instead of trying to learn every new tool available.
Projects and Practical Experience That Strengthen Your Profile
Build projects such as a product recommendation tool, a customer feedback classifier, or a system that predicts sales using sample data. Explain how you prepared the data, selected the model, tested its performance, and improved the result.
Keep the code organised and document your work. A useful project should show not only that the model runs but also why it is appropriate for the problem.
How to Prepare for Machine Learning Job Interviews?
Prepare Python programming, SQL, basic statistics, machine learning concepts, and questions about your projects. Practise explaining why you selected a particular model and how you would improve it if the results were poor.
For experienced professionals, interviewers may also ask how previous software or data engineering work relates to the new role. Prepare clear examples that connect your existing skills with the requirements of the position.
Scope of Machine Learning and AI Career Opportunities in 2026
Artificial intelligence is being used in areas such as software products, finance, healthcare, retail, and business automation. This creates opportunities for people who can build, connect, and maintain AI systems.
However, the scope of machine learning does not mean that every learner will immediately find an AI job. Employers continue to assess technical skills, practical experience, and the ability to meet the needs of their business.
In-Demand AI and ML Job Roles in India
Depending on their skills and experience, professionals can explore roles such as machine learning engineer, AI engineer, data scientist, MLOps engineer, and applied AI engineer.
Each role has different requirements. Review job descriptions carefully to understand which skills are needed before choosing a learning path.
How AI Skills Can Expand Opportunities for Experienced IT Professionals?
For professionals already working in IT, AI skills can add to their existing experience. A Python developer may explore AI-powered software, while a data engineer may work with data systems that support machine learning.
The goal is to combine existing strengths with new knowledge. This can create additional career options without assuming that a complete career change is the only route.
What to Consider Before Switching to an AI/ML Career?
Before making the move, review the skills employers are asking for, assess your current knowledge, and identify the gaps you need to address. Build projects and apply for roles that match your experience.
Also consider the time needed to learn, the responsibilities of the new position, and the salary you can reasonably expect. A planned transition is usually more useful than choosing a role based only on its reported highest salary.
Final Thoughts
AI and machine learning can offer new career opportunities for professionals who are ready to build the required skills. While salary figures help you understand the market, they should not be the only reason for choosing this field.
If you already work in Python development, data engineering, or software development, start by identifying the skills you can build on and the knowledge you still need to gain. Work on practical projects, study relevant job descriptions, and prepare for roles that match your experience.
If you want to develop your skills, Payilagam offers learning opportunities to help you explore this growing field. You can consider AI and ML Training in Chennai to build a foundation in artificial intelligence and machine learning, or explore Gen AI Training in Chennai to learn about generative AI and its practical applications.
With the right learning plan, hands-on practice, and consistent effort, you can prepare for suitable AI/ML opportunities and make informed decisions about your career growth.
Frequently Asked Questions About AI and ML Engineer Salaries
What Is the Average AI/ML Engineer Salary in India in 2026?
Salary reports show different averages because they use different job titles, sample sizes, and methods. For example, Indeed reported an average machine learning engineer base salary of approximately ₹11.46 lakh per year in October 2026, based on 53 reported salaries. This is a reference point, not a guaranteed offer.
Can a Python Developer Become a Machine Learning Engineer?
Yes. A Python developer can build on their programming knowledge by learning data handling, statistics, machine learning algorithms, and model deployment. Relevant projects can help demonstrate readiness for suitable positions.
Is Prior IT Experience Helpful for Getting an AI/ML Job?
Yes, relevant IT experience can be helpful, particularly when it includes Python, data pipelines, APIs, databases, or software testing. However, candidates still need to show that they understand the requirements of the AI/ML role they are applying for.
How Much Can a Machine Learning Engineer Earn After 2 Years?
Pay varies by company, location, and skills. Flexiple’s 2026 data places the median for machine learning engineers with two to five years of experience at approximately ₹9.6 lakh per year. Actual offers may fall below or above this figure.
Which AI/ML Job Roles Offer Higher Salary Packages?
Specialised roles in areas such as machine learning, applied AI, deep learning, and AI systems may offer higher packages in some companies. However, salary depends on the employer, experience, skills, and responsibilities rather than the designation alone.
