AI Jobs for Freshers in India: Top Roles for 2026
Key Highlights
Here is a quick look at what you get in this guide: The artificial intelligence jobs market in India is growing fast. It gives new and good career opportunities for freshers. In 2026, top companies hiring for artificial intelligence roles include tech giants like Google, IBM, Microsoft, Tata Consultancy Services, Infosys, and Wipro, among others that regularly offer career opportunities in this dynamic field.
The artificial intelligence jobs market in India is growing fast. It gives new and good career opportunities for freshers.
By 2026, jobs in machine learning, data analysis, and prompt engineering will be wanted the most.
You can get into this field without knowing coding, with roles like AI Analyst.
When you start a job search, focuson building practical skills. A strong project portfolio is also important.
This guide shows the top entry-level roles, the required skills, and the career paths you can go for. It helps you start in artificial intelligence.
Introduction
Welcome to the future of work! Artificial intelligence is now a big part of many companies. It is changing how people do their jobs and opening up new career paths. If you are new and want to get into a good field, there are many AI jobs in India to choose from. By 2026, the need for people with artificial intelligence skills will be even higher. This guide will help you find the best entry-level AI jobs. You will also see what skills you need and the different career paths you can take with each job type. Some of the cities expected to have the most AI job openings in 2026 include Bengaluru, Hyderabad, Pune, and Gurugram, as these are key technology hubs in India leading the demand for artificial intelligence talent.
AI Jobs for Freshers in India: Top Roles for 2026 & AI jobs vs Data Science jobs
Are you asking if people who are new can get ai jobs? Yes, you can. Now, many companies want skills more than a college degree. The industry demand for people with hands-on knowledge is going up. They like new workers who bring fresh ideas. This means your projects, internships, and certificates are more important now.
The World Economic Forum says that the number of machine learning and ai jobs will go up. If you will finish college in 2026, this is the right time to look into an ai career. Here, you can see the best entry-level ai jobs. You will find coding jobs and non-coding jobs too.
1. Machine Learning Engineer – Entry Level
As an entry-level ml engineer, you work with ai engineers to build and set up predictive models. The team gets data and trains machines to make choices that fit what people want. A good example is how streaming services show you recommendations made by machine learning. There will be work every day to improve and use machine learning and predictive models with the help of your team. To pursue AI jobs in 2026 as a machine learning engineer, popular certification courses include Google Cloud Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, IBM AI Engineering Professional Certificate, Microsoft Certified: Azure AI Engineer Associate, and Coursera's Machine Learning Specialization. Earning these certifications can help you stand out in the competitive AI job market.
To start, you need to know programming languages well. A strong foundation in them, especially Python, is important. It is also good to learn about ML libraries, like Scikit-learn and TensorFlow. If you want to be an ml engineer, you will use these tools every day. You can solve problems and make helpful applications with data.
Your future as an ml engineer looks good. You can move up and be a Senior ML Engineer, an AI Architect, or lead the ai engineers team. What you learn in this field is useful in many places, like finance and healthcare.
2. Data Scientist – Entry Level
A junior Data Scientist is like a detective who works with data. Your main job is to start with a lot of raw data and look for important patterns. You have to find useful facts and the right answers from what you see. You will use numbers and data analysis to help companies know what step to take next. This job means you will clean data, check it, and show your results in a way people can see and understand.
You need to know SQL to pull data. You will use Python or R for the work. Knowing how to use data visualization tools will help. It is good to learn about big data and what neural networks can do. You should be able to turn complex data into simple ideas that a business can use.
Starting as a Data Scientist can help you get better jobs later. You may be a Senior Data Scientist. You could work in machine learning, or maybe be an analytics manager. This career is good for people who like to look at puzzles and enjoy telling others stories about what they see in data.
3. AI Analyst (Non-coding)
If you do not code, but you have an interest in AI, the AI Analyst job can be a good choice for you. This is one of the top ai jobs for people who are new and do not want to code. An AI Analyst helps connect the business side and the technical side. You will help find business problems that AI can solve, check how AI models work, and make sure these models help the business reach its goals.
The skills you need for the ai industry will be more about looking at data. There will be less focus on building it. You must be good at solving problems. It is important to know about the ai industry. You need to talk and write clearly, so you can share your ideas with others. You will work with business analysts and help set up what a project needs. You need to make sure that data privacy is covered, too.
There is good growth in this career for an AI Analyst. You can later become a Senior AI Consultant. You may get to work as an AI Product Manager. You could also lead the business intelligence team. This role is best for people who want to work in ai jobs. It works well for those who have a good feel for business. If you want to be part of something new and big, this is a great choice.
4. Prompt Engineer (Non-coding, Generative AI)
Welcome to the world of generative ai! A Prompt Engineer is a person who writes the right questions to get great answers from generative ai models like ChatGPT. The job is mostly about coming up with ideas, using clear thinking, and knowing about words. It is not about computer code much. You must learn how the model works, and help it give simple, good, and new answers.
This is for you if you want to get into the AI field without having to do any coding. You need to be skilled in using words well, think in new ways, and feel curious about how generative ai models work. Most of the time, you will test many ideas and change your questions to help the AI produce better words, pictures, or code.
The work in generative ai is not the same as other jobs. The field changes fast and often. It is all about making new things and speaking with AI. You can use your skills to move into jobs such as AI Content Strategist or AI Interaction Designer. You can also work to help large language models get better at what they do.
5. AI Operations / Support Specialist
After an AI model is made, there is a person who checks if it is working well. This is the job of an AI Operations or Support Specialist. In this job, you look at how intelligent systems work. The work is to fix any issues that happen and help people who use the system. This job is important as it helps keep AI applications safe and working the way they should.
This is one of the easiest ai jobs to get started in. You need to be good at problem-solving. It helps if you know about machine learning, AI, and how IT systems run. A lot of the job means you work with control systems. You may write about issues and work with developers to fix things.
The role is a good way to begin your ai career. It gives you real, hands-on experience in ai jobs and machine learning. Over time, you can move up to be an AI Operations Manager. You could also become a Site Reliability Engineer for intelligent systems or work in MLOps. This is a simple way to get started and learn more about ai jobs and related fields.
6. AI Content & Automation Coordinator
As companies begin to use AI, there are new roles that mix tech with creative work. One of these is the AI Content & Automation Coordinator. In this job, you use AI to help make and handle digital content. You might get the help of AI to write blog posts, update social media, or put together marketing emails. After that, you look at them to see if they fit your brand.
To do this job, you should have skills in marketing or making content. You also need to be interested in AI tools. You will look for new AI products that the company can use to help make content faster and make the business work better. This is a good job for someone with a background in communications or marketing who wants to get into a related field in AI.
There be jobs like this at the many companies. Startups and big companies in many places want people to fill new roles like this. These jobs help things go better and run smoother. You can start with this job, and after some time, you may move up. You can become a Content Strategist, work as a Marketing Automation Manager, or take a job as an AI Tools Specialist.
7. Computer Vision Associate
Do you want to help computers see and understand pictures or videos? A Computer Vision Associate works with visual data, such as images and videos. In this role, you help build systems that find objects, faces, and patterns in pictures or videos. This technology is used in things like self-driving cars and medical image reading tools. When you start out, you will work with computer vision engineers and help by labelling data and testing models.
To begin your AI career, you should learn Python. You will use deep learning with tools like PyTorch or TensorFlow. It also helps to know image processing with libraries like OpenCV. If you have an MCA degree or a strong computer science background, this field will be good for you to go into.
The path in computer vision is exciting. You can go into work as a Computer Vision Engineer. There is the job of being an Augmented Reality Developer. You can also be an AI research scientist and use visual data in your work. This field comes with a lot of chance for people to help build new technology for the future.
8. NLP (Natural Language Processing) Associate
Natural Language Processing (NLP) is about getting computers to use human language. As an NLP Associate, you work on things like chatbots, text feeling checks, and translation for human language. In this job, you get language text ready for computer use. You train models that read and work with text, and you go back to see how well they do at these tasks.
For this job, you need to be good at Python. You should know how to use NLP libraries like NLTK and Hugging Face. Some parts of the work are technical, but there are things in NLP that use less code, such as labeling data or setting up chatbot conversations. If you know about speech, human language, or communication, you can also do well in this job.
This job is growing very fast in the machine learning and AI world. You can start here, and then move up to be an NLP Engineer, or a Conversation Designer. Some people also go on to be a Machine Learning Scientist who works with human language. The work you do in this field will help shape how we talk to technology in the next few years.
9. Junior AI Product Manager
An AI Product Manager helps guide the team to build products that use AI, starting from the idea and going through to launch. If you are a junior AI Product Manager, you will work with and learn from senior product managers. You help with market research, choose what features the product should have, and work closely with engineers to make sure users get what they want. You do not need to be an expert at coding for this job, but you do need to be able to plan ahead and think about what is needed next.
Keywords: product managers, ai product manager
To do well, you need to know a lot about AI. You should also be good at project management, and care about making user experience better. This job brings business, technology, and design teams together. So, everyone works as one.
This job as an AI product manager can open doors to bigger jobs later. You could be a Senior AI Product Manager. You may go on to become Head of Product or even Chief Product Officer. If you want to be a leader in AI, and help build new things, this job can be your starting point.
Skills Needed for Entry Level AI Jobs in India - Highest paying AI jobs in India
To get entry-level AI jobs, you need to have some key skills. You have to know both technical skills and soft skills. The good news is, you do not have to know all things. A strong foundation in required skills is what you need. You can get these skills if you keep working on them and use them in real life.
It does not matter if you want a coding job or a job without much coding. What matters is that you build the right skill set. This will help you be a good pick for ai jobs. To get your ai career started, you should learn the technical skills, tool-based skills, and non-technical skills that matter.
Essential Technical Skills: Python, SQL, ML basics
If you want to work in technical AI, there are the key skills you need to get. These are the main technical skills every person in AI must have. You have to start with the basics and know them well.
Focus on learning these programming languages and ideas:
Python: This is the main language for machine learning and AI jobs. It is simple to use. There are many good libraries in it, which help people get started.
SQL: SQL means Structured Query Language. You use it to work with and get data from a database. A lot of AI jobs need you to use SQL almost every day.
ML Basics: You need to know basic things about machine learning. You should learn how supervised and unsupervised learning work. Know what regression and classification are. It is important to see how people train and check models.
The first step is to get good at these things. You can join a structured program, like an ai developer course in Hyderabad. This can guide you as you learn technical skills, machine learning, and more about programming languages.
Tools and Platforms Exposure: TensorFlow, Power BI, ChatGPT
Apart from knowing basic skills, it helps to be familiar with the common AI tools and platforms. This will make your resume better in the software development field. Many people use these tools each day when working on software development and AI projects. The best way to learn them is by doing real projects. A lot of people want to find an ai training institute in Hyderabad to practice using these tools and get more comfortable with them.
Platforms such as Amazon Web Services and Google Cloud have great AI tools. A lot of people and companies use them in their work. Getting proof of skill from these services can show that you know how to use them.
Here is a simple look at some important tools and what they are for:
Tool/Platform | Primary Use Case | Role Relevance |
|---|---|---|
TensorFlow/PyTorch | Building and training deep learning models | ML Engineer, Data Scientist |
Power BI/Tableau | Data visualization and business intelligence | Data Scientist, AI Analyst |
ChatGPT/Generative AI Tools | Content generation and prompt engineering | Prompt Engineer, Content Coordinator |
Scikit-learn | General-purpose machine learning tasks | ML Engineer, Data Scientist |
Non-Technical Skills: Problem-solving, Logical thinking, Communication
Your technical skills are important, but it is the non-technical skills that help you stand out in a team. These skills help you solve problems and work well with other people. For ai jobs and other roles, companies want staff who use their minds and work with others to get things done.
Here are the soft skills you should talk about:
Problem-solving: In AI, you have to get answers for tough problems. The best way is to split a big job into smaller steps. Then, find out how to solve each part.
Logical Thinking: You must think in a clear and set way. This helps you use data and set up algorithms the right way.
Communication: You should know how to share or write about hard technical ideas. The main thing is for all of the people to understand, even those who are not tech experts.
Curiosity and Adaptability: AI is always changing. You have to always be learning new things if you want to do well and keep up.
These skills, along with your technical skills, can help you do well for a long time.
Conclusion
If you want to start in AI jobs as a fresher in India, you have to think about a few things. You should look at your skills. Also, know what you like and find the jobs that feel exciting to you. Some people want to be a machine learning engineer. Others may want to go for a non-coding job like an AI Analyst. It is good to be clear about what skills both jobs need. Think about how far you can go in these roles before you choose your path.
Don’t just go with new trends. It is good to learn the basics first. If you give some time in the next six to twelve months to get ready, you can be in a good place to get a machine learning job in 2026. Do you like to find out more about what you can do? Get in touch for a free consultation to explore your options!
Frequently Asked Questions
What are the top AI job roles for freshers in India in 2026- AI job market in India?
By 2026, new workers will have many chances in ai jobs when they start out. The main jobs will be machine learning engineer, data scientist, ai analyst, and prompt engineer. There will also be more jobs in machine learning and computer vision. If you get good skills in this area, you can find many places to work. These ai jobs are a good way for people to begin their career.
Which entry level AI jobs offer the highest salaries in India - Top AI job roles in 2026?
In machine learning and AI jobs, some roles pay well when you start. A Data Scientist and a Machine Learning Engineer usually get good money from the beginning. The reason for this is they need you to have strong analytical skills. You also need to be good at coding. If you work as a Junior AI Product Manager, you will also make a good salary. The job is important in the company, so there is value in it.
machine learning, ai jobs, machine learning engineer, data scientist, ai product manager
What skills do I need to land a non-coding AI job as a fresher - AI jobs after BTech / MCA?
For a non-coding AI job, you do not need to know how to code. You need to have strong communication and be good at critical thinking. Problem-solving skills help a lot. Know the ai industry well and have a business mindset. All of these are very important for jobs such as AI Analyst or Prompt Engineer. These jobs help connect ai technology with business needs.
Are there any jobs in India for AI at all? Feeling lost.
Yes, there are numerous AI jobs for freshers in India, especially as the industry is rapidly growing. Positions range from data analysts and machine learning engineers to AI research assistants. Companies like TCS, Infosys, and startups actively seek fresh talent, making it an excellent time to explore opportunities in AI.