AI Internships 2027: Jobs, Skills & Stipends in India
Exploring AI internships 2027 can help Indian students and fresh graduates gain practical experience in artificial intelligence, Python programming, data science, generative AI and automation. These internships may involve building machine learning models, analysing datasets, developing AI applications, testing large language models or supporting research teams.
As companies adopt AI tools across technology, finance, healthcare, e-commerce and other industries, students with practical AI skills can explore opportunities at established technology companies, startups, research institutions and government-supported internship platforms.
However, not every AI internship offers a stipend, and many advertised positions require more than basic knowledge of ChatGPT or Python. Employers may expect programming skills, statistics, machine learning fundamentals and evidence of completed projects.
This guide explains how to secure top AI internships 2027, the companies and platforms worth monitoring, essential skills, possible stipend ranges, eligibility requirements, application steps and remote internship options. For more career guides and learning resources, visit Wisdom Land.
Updated October 10, 2026: Some employers have already published opportunities with 2027 start dates, while other internship openings may be announced later. The examples below distinguish published opportunities from future recruitment possibilities. Always check the official vacancy for its latest eligibility criteria, stipend and deadline.
What Are AI and Machine Learning Internships?
An AI internship gives students practical exposure to developing, evaluating, implementing or researching artificial intelligence systems. Machine learning internships focus more specifically on algorithms and models that learn patterns from data.
Although the terms overlap, internship responsibilities can vary considerably.
- Artificial intelligence internships: Building AI-powered applications, automation tools and intelligent systems.
- Machine learning internships: Training models, selecting algorithms, evaluating performance and improving predictions.
- Data science internships: Cleaning datasets, performing statistical analysis, creating visualisations and developing predictive models.
- Generative AI internships: Building applications using large language models, retrieval-augmented generation (RAG), embeddings and AI APIs.
- Computer vision internships: Working with images, video, object detection and image classification.
- Natural language processing internships: Developing systems that process, classify or generate human language.
- MLOps internships: Supporting model deployment, monitoring, version control and machine learning pipelines.
Students should read the job description carefully because a role titled “AI Intern” might involve data labelling, software development, research or AI-assisted business operations rather than training machine learning models.
Best Companies to Check for AI Internships in India in 2027
The companies below have established technology, engineering, research or student recruitment channels worth monitoring. This is a list of potential employers to investigate, not a claim that every company has an AI-specific internship open for 2027.
| Company | Roles and skills to explore | Official careers website |
| Microsoft | AI engineering, software development, Azure, data science | https://careers.microsoft.com/ |
| Machine learning, software engineering, research and data | https://www.google.com/about/careers/applications/ | |
| Amazon | Software engineering, applied science, AI-related development and data | https://www.amazon.jobs/ |
| NVIDIA | Deep learning, AI research, GPU computing and software engineering | https://www.nvidia.com/en-us/about-nvidia/careers/ |
| Adobe | AI-powered products, data science, software and research | https://careers.adobe.com/ |
| IBM | AI, machine learning, data science, cloud and research | https://www.ibm.com/careers |
| Intel | AI software, computer vision, hardware and research | https://jobs.intel.com/ |
| Qualcomm | AI engineering, embedded systems and on-device machine learning | https://www.qualcomm.com/company/careers |
| TCS | Research, data science, software engineering and AI-related roles | https://www.tcs.com/careers |
| Infosys | AI, data analytics, software development and research opportunities | https://www.infosys.com/careers/ |
| Wipro | Data, AI, engineering and technology consulting | https://careers.wipro.com/ |
| Accenture | Data science, AI solutions, automation and technology consulting | https://www.accenture.com/in-en/careers |
How to search these company websites
Use search terms such as:
- AI Intern
- Machine Learning Intern
- Data Science Intern
- Applied Scientist Intern
- Research Intern
- Generative AI Intern
- Software Engineer Intern
- Python Intern
Check the location, academic year, expected graduation date, required skills and duration before applying. Some companies recruit interns through university programmes, while others publish individual job vacancies.
Do not assume that a software engineering internship includes AI work unless the job description says so.
AI Internship Opportunities With 2027 Start Dates
One useful strategy is to monitor live vacancies rather than relying only on general internship lists.
For example, Amazon has published a Software Development Engineer Intern vacancy describing full-time internships lasting approximately 24–26 weeks, with start dates between January and June 2027. The listing considers applicants for locations in India, including Bengaluru, Chennai, Hyderabad, Delhi, Mumbai and Pune.
Official listing: Amazon University Talent Acquisition SDE Intern
This is a software engineering internship, not necessarily an AI-specific position. It is relevant to students who want to develop engineering experience that could support a future AI career.
For AI-focused positions, search company career websites directly and verify whether the actual duties involve machine learning, applied science, data or generative AI. Vacancy availability and deadlines can change.
Government and Apprenticeship Platforms for AI Internships
Students can also look beyond large private technology companies.
1. AICTE National Internship Portal
The AICTE National Internship Portal provides a place to explore internship opportunities across technical and professional fields, including AI, machine learning and data science.
Official website: AICTE National Internship Portal
Search the portal for AI, machine learning, Python, data science and remote opportunities. Review the individual listing to check whether it offers a stipend, whether it is paid or unpaid, and what the employer expects.
Important: A government-linked portal may contain opportunities with different compensation arrangements. Verify the exact listing rather than assuming every internship is paid or guarantees a particular stipend.
2. National Apprenticeship Training Scheme (NATS)
NATS is another route to investigate for eligible students and graduates interested in technical training and workplace experience. Relevant listings may use terms such as “AI apprentice,” “machine learning apprentice” or “data analyst trainee.”
Official website: NATS Portal
The apprenticeship category, educational eligibility, duration and stipend depend on the specific position and applicable rules. An apprenticeship is not always the same as a short-term student internship, so review the terms before applying.
3. Research institutions and university laboratories
Students interested in advanced AI research can monitor universities, research centres and laboratories for opportunities involving:
- Computer vision
- Natural language processing
- Robotics
- Medical AI
- Speech recognition
- AI safety and evaluation
- Scientific machine learning
- Data-driven modelling
Some positions require a professor’s recommendation, a strong academic record or prior research experience. Others may accept students who have built relevant projects independently.
AI and Machine Learning Internship Stipends in India 2027
The stipend for AI internships 2027 depends on the employer, location, role, skills, degree level and duration. A specialised machine learning research position can have different compensation from a beginner-level data analytics internship.
The following ranges are illustrative planning estimates, not verified 2027 offers, official market averages or guaranteed salaries. Actual vacancies may pay less, more or nothing.
| Internship role | Illustrative monthly stipend |
| Beginner Python internship | ₹5,000–₹15,000 |
| Data analytics internship | ₹8,000–₹25,000 |
| Data science internship | ₹10,000–₹30,000 |
| Machine learning internship | ₹10,000–₹40,000 |
| Generative AI application development | ₹10,000–₹40,000 |
| Computer vision or NLP internship | ₹10,000–₹40,000 |
| Specialised AI engineering or research internship | ₹15,000–₹60,000 or more |
These estimates are intended only to help students plan their search. They should not be used to claim that a specific employer pays a particular amount. Verify the stipend on the live job listing or in the written offer.
What affects an AI intern’s stipend?
Several factors can influence compensation:
Technical skills: Candidates who can write reliable code, evaluate models and solve practical problems may qualify for more specialised positions.
Project experience: Demonstrable work can help employers assess candidates who do not have professional AI experience.
Employer and location: Compensation structures vary across startups, research labs, established technology companies and cities.
Internship responsibilities: Data preparation, model development, production engineering and research can involve different levels of responsibility.
Duration and working hours: A full-time internship may have different terms from a short, part-time or remote placement.
How to verify a stipend
Before accepting an offer, confirm the monthly amount, payment dates, duration, working hours, deductions if any and whether compensation depends on completing particular tasks. Do not rely solely on a headline such as “earn ₹50,000 per month” when the actual vacancy does not support that claim.
Essential Skills Required for AI Internships in 2027
You do not need to master every AI technology before applying for AI internships 2027. Start with the fundamentals required for your chosen role and build from there. You can explore skill development tutorials on wisdomland.in to enhance your preparation.
1. Python programming
Python is widely used in data science and machine learning. Learn:
- Variables, loops, functions and classes
- Lists, dictionaries and file handling
- Exception handling and debugging
- Basic algorithms and data structures
- Virtual environments and package management
- Git and GitHub fundamentals
Practise writing readable code and explaining your approach. Employers may assess your programming skills through coding tests, technical interviews or project discussions.
2. Mathematics and statistics
Machine learning relies on mathematical concepts, particularly for model development and evaluation.
Prioritise:
- Basic probability
- Descriptive and inferential statistics
- Linear algebra fundamentals
- Derivatives and gradient-based optimisation
- Distributions, sampling and correlation
- Evaluation metrics and experimental design
The depth required depends on the role. An AI application developer may need less mathematical depth than a research intern developing new algorithms.
3. Data analysis
Learn how to work with datasets before moving into complex models.
Useful tools include:
- NumPy for numerical operations
- pandas for data manipulation
- Matplotlib for visualisation
- SQL for querying databases
- Jupyter notebooks for experimentation
Practise identifying missing values, handling inconsistent data, detecting outliers and documenting your analysis.
4. Machine learning fundamentals
Understand the purpose and limitations of common algorithms, including:
- Linear and logistic regression
- Decision trees and random forests
- Clustering
- Support vector machines
- Train-validation-test splits
- Overfitting and underfitting
- Cross-validation
- Precision, recall, F1 score and other relevant metrics
Learn to establish a baseline model and evaluate whether a more complex approach actually improves results.
5. Machine learning libraries
Depending on your target role, become familiar with key open-source machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow.
You should understand how to load data, prepare features, train a model, evaluate performance and save the resulting model. It is better to understand one library well than to list many tools you have barely used.
6. Generative AI and large language models
Generative AI internships may involve building applications around existing language models rather than training a model from scratch.
Relevant concepts include:
- Large language model APIs
- Prompt design and structured outputs
- Embeddings and semantic search
- Retrieval-augmented generation (RAG)
- Vector databases
- Model evaluation and hallucination testing
- Privacy, security and responsible AI
- Basic deployment and monitoring
A good portfolio project should explain what problem the application solves, how its data is handled and how you evaluated its outputs.
Best AI Projects to Add to Your Internship Resume
A practical portfolio can help demonstrate your skills, especially if you have no previous internship experience.
Project 1: Student performance prediction
Use a suitable public dataset to investigate factors associated with student performance and develop a predictive model.
Demonstrate data cleaning, exploratory analysis, model evaluation and the limitations of your predictions. Avoid presenting correlations as proof of causation.
Project 2: Customer support chatbot
Build a simple question-answering application that retrieves information from a defined set of documents.
Explain how you process documents, retrieve relevant passages, generate answers and evaluate response quality. Include examples where the system fails or appropriately refuses to answer.
Project 3: Resume screening prototype
Develop a prototype that compares job descriptions with candidate skills and highlights potentially relevant qualifications.
Be transparent about limitations and bias. Do not claim that the model can objectively determine a candidate’s suitability or should make real hiring decisions without careful evaluation and human oversight.
Project 4: Image classification model
Train a model to classify images from an appropriate public dataset.
Document the data source, preprocessing steps, baseline performance, evaluation metrics and common errors. If possible, deploy a small demonstration application.
Project 5: Sales or demand forecasting
Use historical data to build a forecasting model and compare it against a simple baseline. Explain how you split time-series data correctly and measure prediction error.
Portfolio tip: For each project, include a short description, code repository, setup instructions, dataset attribution, evaluation results and a section explaining limitations. Do not upload confidential employer data or credentials.
Eligibility for AI Internships for Students and Freshers
Eligibility depends on the vacancy. Some internships target undergraduate students, while others accept master’s students, PhD candidates or recent graduates.
Common requirements include:
- Enrolment in computer science, information technology, data science, mathematics, statistics, engineering or a related discipline
- Familiarity with Python and relevant technical concepts
- A minimum academic score, if specified
- A particular graduation year or academic semester
- Availability for the full internship duration
- A portfolio, research experience or relevant coursework for specialised roles
Some employers accept students from other academic backgrounds if they can demonstrate relevant skills. For example, a statistics student may be suitable for certain data science roles, while a student from another discipline may qualify for an AI application development internship after building the necessary technical foundation.
Always check whether the vacancy accepts current students, recent graduates or both.
How to Apply for AI Internships in India in 2027
Follow this process to make your search more organised.
Step 1: Choose a target role
Decide whether you are primarily interested in machine learning, data science, generative AI, Python development, computer vision or AI research.
Choose a role that matches your current skills and the amount of time you can spend preparing.
Step 2: Learn the required fundamentals
Study Python, data analysis and the concepts relevant to your target position. Practise using small datasets and build a clear understanding of the tools listed in job descriptions.
Step 3: Build two or three relevant projects
Focus on projects that demonstrate practical ability. Document the problem, methodology, results and limitations instead of copying a tutorial without understanding it.
Step 4: Prepare a focused resume
Highlight relevant coursework, projects, programming languages, tools and achievements. Link to working repositories or demonstrations where appropriate.
Do not exaggerate your experience or list technologies you cannot explain during an interview.
Step 5: Search official career pages and internship portals
Check company career websites, university placement offices, the AICTE National Internship Portal, and the NATS Portal. Set alerts where available and maintain a list of application deadlines. Check wisdomland.in for updated internship guidance.
Step 6: Customise each application
Match your resume to the actual requirements. Explain how your skills and projects relate to the work, and submit all requested documents.
Step 7: Prepare for technical assessments
Revise Python, SQL, basic statistics, machine learning concepts and the projects listed on your resume. For generative AI roles, practise explaining embeddings, RAG, model evaluation and responsible handling of data.
Step 8: Verify the offer
Confirm the employer, role, stipend, working hours, duration, reporting manager and work arrangement in writing. Be cautious if the recruiter requests payment to guarantee selection.
Remote AI Internships in 2027
Remote AI internships 2027 may allow students to work from home or from their college location. Possible responsibilities include Python development, data analysis, model evaluation, AI application development, annotation quality analysis and research support.
However, remote opportunities vary considerably. Some are paid, some are unpaid, and some are training programmes that do not provide meaningful workplace experience.
Before applying, check:
- Whether the internship is genuinely remote from India
- Whether the employer accepts applicants in your location
- Whether the role offers a fixed stipend
- The required weekly working hours and time-zone overlap
- Whether you will work on real projects with a supervisor
- Whether the internship requires you to purchase a course or certificate
A remote internship should still provide clear responsibilities, feedback and a defined completion process. Do not assume that an online certificate programme is equivalent to an employer-sponsored internship.
How to Avoid Fake AI Internship Offers
The popularity of AI has also created opportunities for misleading advertisements. Be particularly careful when a recruiter promises unusually high earnings for minimal work or guaranteed employment after a short course.
Warning signs include:
- A demand for registration, training or placement fees as a condition of selection
- An offer without a verifiable employer or clear job description
- A promise of a very high stipend without explaining the actual duties
- Requests for passwords, OTPs or sensitive banking credentials
- A requirement to purchase a course or software from the recruiter
- Pressure to accept immediately without reviewing written terms
- Claims that an internship guarantees a job at a major technology company
Verify the organisation through its official website and contact channels. Check the vacancy on the company’s careers page where possible, and do not send money to a personal account to secure a position.
A training programme may legitimately charge a fee, but it should not be misrepresented as a paid job or guaranteed internship. Read the terms and compare the value carefully.
Frequently Asked Questions
1. Which companies offer AI internships in India in 2027?
Students can monitor Microsoft, Google, Amazon, NVIDIA, Adobe, IBM, Intel, Qualcomm, TCS, Infosys, Wipro and Accenture. Openings and eligibility vary, and not every employer will have an AI-specific internship available at the same time. Check official career pages for live vacancies.
2. How much stipend can I earn from an AI internship in India?
Compensation depends on the role, employer, location, duration and candidate’s skills. The illustrative ranges in this guide are for planning only. Use the actual job listing and written offer to determine the stipend for a particular internship.
3. Can a first-year student apply for AI internships?
Some opportunities accept first-year students, particularly beginner-level programmes, early-career engineering internships and selected research or training projects. Other positions require students to be in their pre-final or final year. Read the eligibility requirements carefully.
4. Can non-computer-science students get AI internships?
Yes, some roles are open to students from mathematics, statistics, physics, economics, engineering and other disciplines. Relevant programming ability, quantitative skills and practical projects can help demonstrate suitability. The specific vacancy determines which backgrounds are accepted.
5. Are remote AI internships paid?
Some are paid, while others are unpaid or primarily educational. Check the stipend, employer identity, work expectations and supervision arrangements before accepting the position.
6. Is Python enough to get a machine learning internship?
Python is a useful starting point, but machine learning roles often require additional knowledge of statistics, data preparation, model training and evaluation. Generative AI application roles may also require API integration, retrieval techniques and software development skills.
7. Do AI internships guarantee a full-time job?
No. Some employers may offer a pre-placement offer or a chance to apply for a graduate role, but conversion is not guaranteed unless explicitly stated in the written terms. Hiring decisions may depend on performance, business requirements and further assessments.
8. Where can I find government AI internships in India?
Start with the AICTE National Internship Portal and the National Apprenticeship Training Scheme portal. Search for AI, machine learning, Python and data science, then review the individual listing for eligibility, stipend and deadlines.
9. Are AI internships available for freshers?
Some internships accept recent graduates, while others require candidates to remain enrolled in college. Search for listings that explicitly state whether freshers or graduates can apply.
10. When should I apply for AI internships in 2027?
Prepare your resume and projects early, monitor career websites regularly and apply as soon as suitable vacancies open. Some programmes recruit months in advance, while others publish openings throughout the year. Follow the employer’s announced deadline rather than relying on a single general timeline.
Conclusion
AI and machine learning internships in 2027 can help Indian students develop practical skills in Python, data science, generative AI and model development. Opportunities may be available through established technology companies, startups, research teams, university laboratories and government-supported internship platforms.
Start by selecting a suitable role, strengthening your fundamentals and building projects that demonstrate your ability. Monitor official job listings for AI internships 2027, verify eligibility and stipend details, and prepare for technical assessments.
Most importantly, focus on learning and real project experience rather than chasing an advertised stipend alone. A legitimate internship with useful responsibilities, clear supervision and transparent compensation can be a strong step towards a career in artificial intelligence.
