10 Machine Learning Internships in India (2025)

If you’re a student or early professional eager to apply your Machine Learning skills in the real world, an internship is your best starting point. From GenAI-driven logistics to AI-powered finance and legal tech, companies across India are offering exciting ML roles that go far beyond textbook theory. These internships don’t just pay – they teach you to build models, help you deploy solutions, and give you the chance to collaborate with domain experts. They offer hands-on experience, learning opportunities, and a real shot at launching your ML career. In this curated list, you’ll find some of the best paid Machine Learning internships offered in India in 2025. So let’s get started.

Top Machine Learning Internships

Let’s take a look at the top 5 Machine Learning internships offered by various companies in India in 2025.

1. Settyl

Settyl is a configurable, AI-powered visibility platform that optimizes end-to-end supply chain workflows across multiple countries. Built on a low-code engine, it empowers suppliers, shippers, and logistics providers with real-time, actionable insights. Settyl helps businesses streamline operations, reduce delays, and make smarter decisions. It’s trusted by leading players in sectors like FMCG, pharma, automotive, manufacturing, and logistics.

• Internship Duration: 6 Months
• Stipend: ₹12,000 – 15,000/month
• Location: Chennai
• Start Date: 8th May 2025 – 12th June 2025

Job Responsibilities:

1. Build and enhance LLM-based GenAI applications using the Gemini platform.
2. Use the ADK framework (or similar frameworks) to design, develop, and deploy intelligent AI agents.
3. Design and implement scalable APIs using FastAPI to integrate AI functionalities into applications.
4. Explore emerging AI technologies, tools, and frameworks to identify opportunities for innovation and practical application.
5. Rapidly prototype AI features, test new ideas, and iterate based on results and feedback.
6. Collaborate with cross-functional teams and document technical processes, implementation details, and best practices.

Perks:

• Internship certificate
• Letter of recommendation
• 5-day work week
• Free snacks & beverages

Check out the latest Data Science internships by Settyl here.

2. S. S. Rana & Co.

S.S. Rana & Co. is a trusted full-service Indian law firm, specializing in intellectual property and corporate law since 1989. With a team of legal experts, engineers, and professionals, it offers end-to-end support across industries and borders. It works with Fortune 500 companies, Indian multinationals, startups, and even grassroots innovators. The company protects ideas, resolves disputes, and powers business growth in fields ranging from aviation and e-commerce to pharma and gaming.

• Internship Duration: 3 Months
• Stipend: ₹4,000 – 5,000/month
• Location: Delhi (remote)
• Start Date: 13th April 2025 – 23rd May 2025

Job Responsibilities:

1. Research and develop machine learning models from inception to deployment.
2. Work collaboratively with teams to transform business needs into robust technical solutions.
3. Learn and craft algorithms for processing vast datasets efficiently in real-time.
4. Integrate models with various platforms for real-world applications.
5. Enhance model performance for greater accuracy and efficiency.
6. Keep abreast of technological advancements to foster innovation.

Perks:

• Internship certificate
• 5-day work week

Check out the latest Data Science internships by S.S. Rana & Co. here.

3. Aaans Services Private Limited

Aaans Services Private Limited is a Bangalore-based finance services firm that focuses on the Financial Artificial Intelligence domain. It brings innovation to finance with smart AI solutions for accounting, payroll, and reporting. The company simplifies complex financial tasks from streamlining payroll to generating real-time financial insights, with automation and accuracy. Its tech-driven approach is helping companies of all sizes handle everyday finance with AI-powered strategic planning.

• Internship Duration: 3 Months
• Stipend: ₹5,000 – 15,000/month + incentives
• Location: Bangalore (remote)
• Start Date: 30th April 2025 – 4th June 2025

Job Responsibilities:

1. Prepare and explore data.
2. Develop, evaluate, and validate models.
3. Fine-tune and optimize hyperparameters.
4. Deploy and integrate AI/ML solutions.
5. Monitor and maintain systems, while documenting and reporting progress.
6. Collaborate with cross-functional teams and share knowledge.

Perks:

• Internship certificate
• Letter of recommendation
• Flexible working hours
• Job offer with a pay of 5 – 9 LPA

Check out the latest Data Science internships by Aaans Services Private Limited here.

4. Maxgen Technologies Private Limited

Maxgen Technologies Pvt. Ltd. is a global tech company offering training and services in web development, SAP, and mobile apps. It specializes in upskilling professionals in PHP, Java, WordPress, Android, and more through hands-on corporate training. Alongside training, the company also builds and maintains websites, e-commerce platforms, and provides expert SEO solutions.

• Internship Duration: 3 Months
• Stipend: ₹7,000 – 12,000/month
• Location: Ahmedabad, Rajkot
• Start Date: 30th April 2025 – 4th June 2025

Job Responsibilities:

1. Develop and implement Python scripts for data analysis and machine learning projects.
2. Use Data Science techniques to extract insights from large datasets and generate reports.
3. Build interactive user interfaces using React and Flutter for web and mobile applications.
4. Collaborate with the development team to integrate frontend interfaces with backend services using Node.js.
5. Conduct research and stay updated on the latest trends in technology to contribute innovative ideas to projects.
6. Participate in team meetings and brainstorming sessions to contribute to project planning and execution.
7. Assist in debugging, testing, and troubleshooting code to ensure the quality and functionality of the final product.

Perks:

• Internship certificate
• Letter of recommendation
• Flexible working hours
• 5-day work week

Check out the latest Data Science internships by Maxgen Technologies Private Limited here.

5. Wiredleap Technology Private Limited

Wiredleap Technology Pvt. Ltd. builds AI-powered solutions using machine learning, computer vision, and edge AI. It specializes in real-time analytics for public safety, smart surveillance, crowd monitoring, and anomaly detection. Its scalable tech helps industries ranging from security to retail, make faster, data-driven decisions. With deep learning at its core, Wiredleap turns raw data into powerful, actionable intelligence.

• Internship Duration: 6 Months
• Stipend: ₹15,000 – 20,000/month
• Location: Remote
• Start Date: 3rd May 2025 – 7th June 2025

Job Responsibilities:

1. Develop and optimize machine learning models for applications such as object detection, tracking, and predictive analytics.
2. Work with large-scale datasets, including image, video, and sensor data, to improve system performance.
3. Deploy and integrate AI models into production environments for efficiency and scalability.
4. Collaborate with engineers and data scientists to enhance model accuracy and reliability.
5. Implement edge AI solutions where real-time processing is critical, such as smart city applications.

Perks:

• Internship certificate
• Letter of recommendation

Check out the latest Data Science internships by Wiredleap Technology Private Limited here.

Eligibility Criteria for a Machine Learning Internship

Here’s what you require to qualify for a Machine Learning internship.

• Educational Background: Candidates pursuing or holding degrees in computer science, data science, statistics, mathematics, or engineering disciplines are generally preferred.
• Programming Skills: Proficiency in programming languages such as Python, R, or Java is often required for implementing machine learning models.
• Knowledge of ML Concepts: A strong foundation in machine learning algorithms, supervised and unsupervised learning, neural networks, and deep learning is essential.
• Hands-on Experience: Practical experience through academic projects, online courses, or participation in ML competitions like Kaggle can add significant value.
• Mathematical Aptitude: A good understanding of linear algebra, probability, and calculus is crucial for developing and fine-tuning ML models.
• Communication Skills: Clear communication is necessary for presenting results, explaining models, and collaborating with cross-functional teams.

Learn More: How Can You Build a Career in Data Science and Machine Learning?

Roles and Responsibilities of a Machine Learning Intern

Although the exact responsibilities of a Machine Learning intern varies from company to company and the projects they will work on, here are some common tasks they will have to do.

• Data Preprocessing: Cleaning, transforming, and preparing raw data for modeling purposes.
• Model Building: Developing machine learning models for classification, regression, or clustering problems using real-world data.
• Algorithm Optimization: Fine-tuning algorithms and adjusting hyperparameters to improve performance metrics.
• Experimentation: Conducting experiments to compare models and document the performance of various approaches.
• Collaboration: Working closely with data scientists, engineers, and product teams to understand business needs and integrate models into products.
• Research Support: Assisting in literature reviews, prototyping innovative ML approaches, and supporting ongoing research projects.
• Reporting: Preparing documentation and reports to communicate findings and model performance to stakeholders.

Skills Required for a Machine Learning Internship

Now lets learn about the technical and soft skills required to become a Machine Learning intern.

Technical Skills

• Programming Proficiency: Hands-on experience in Python, R, or Julia, especially with libraries like Scikit-learn, TensorFlow, or PyTorch.
• Mathematical Foundations: Strong grasp of statistics, linear algebra, and calculus, as they form the backbone of ML algorithms.
• Data Handling: Skills in working with data manipulation libraries such as Pandas and NumPy for data cleaning and preprocessing.
• ML Algorithms: Understanding various ML algorithms like decision trees, support vector machines, k-nearest neighbors, and ensemble methods.
• Cloud and Tools: Familiarity with platforms like AWS, Google Cloud, or Azure, and tools like Jupyter Notebook, Git, and Docker.

Learn More: Top 10 Machine Learning Algorithms in 2025

Soft Skills

• Problem-Solving: Capability to break down complex problems and identify effective machine learning solutions.
• Curiosity and Learning Agility: Willingness to stay updated with the latest trends in ML and AI research.
• Collaboration: Comfortable working in teams and coordinating with different departments to implement ML solutions.
• Time Management: Managing multiple tasks and delivering results within the internship duration.
• Presentation Skills: Ability to clearly explain technical findings to both technical and non-technical stakeholders.

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How to Find a Machine Learning Internship?

There are many different ways to find a good Machine Learning internship, including:

• Job Portals: Explore sites like LinkedIn, Internshala, Indeed, and Naukri for machine learning-specific internships.
• Company Websites: Regularly check the careers pages of companies known for their work in AI and machine learning such as TCS, Infosys, ZS Associates, Fractal Analytics, and startups like Uniphore or Mad Street Den.
• Hackathons and Competitions: Participate in competitions on Kaggle, Zindi, and MachineHack where recruiters often scout for talent.
• Networking: Join ML and AI communities on GitHub, LinkedIn, and Reddit. Attend meetups, conferences, and online webinars.
• Academic Collaboration: Reach out to professors or research groups working on ML for potential internship openings.
• Cold Emailing: Identify companies or researchers you admire and send a well-crafted email along with your resume and project portfolio.

Tips to Get into a Machine Learning Internship

Now let me give me a few tips that can help you get a good Machine Learning internship.

1. Strengthen Your Basics: Gain a solid understanding of machine learning concepts and statistical methods.
2. Build a Portfolio: Work on diverse ML projects, such as image classification, sentiment analysis, or recommendation systems, and host them on GitHub.
3. Contribute to Open Source: Join ML-related open-source projects to gain visibility and real-world coding experience.
4. Online Courses and Certifications: Complete reputed courses from Coursera, edX, or Analytics Vidhya to validate your skills.
5. Create a Customized Resume: Highlight relevant skills, projects, certifications, and any prior internship or research experience.
6. Mock Interviews: Practice coding and ML-specific interview questions to prepare for technical rounds.
7. Engage in the Community: Share your ML learning journey and projects on platforms like LinkedIn to connect with industry professionals.

Conclusion

Whether you’re passionate about edge AI, financial automation, or building smart APIs, there’s a machine learning internship out there that fits your goals. Each of these roles provides not just a foot in the door, but a real chance to make an impact with your skills. So polish that resume, start applying, and get ready to learn from the best in the business. The future of AI in India is bright and your ML journey could start right here.