India’s AI market is booming—set to reach $17-20 billion by 2027 and add up to ₹500 billion to the GDP by 2026. Yet, too many ML students settle for unpaid gigs while top internships now pay ₹25,000+ monthly for real-world AI projects.
Don’t waste your talent! We’ve ranked the 12 best-paying machine learning internships in India for 2025—featuring roles in supply chain, legal AI, and computer vision that actually ship to customers.
Ready to turn your ML skills into serious cash and career growth? Dive in to discover where the money and innovation meet.
What Makes a Machine Learning Internship Worth Your Time?
Before exploring into specific opportunities, let's understand what separates a truly valuable ML internship from the rest:
12 Best Machine Learning Internships in India (2025)
Now, let's explore the top ML internships that tick the above boxes.
1. Google India – AI Research Intern
Company Overview: Google needs no introduction. Their AI research team in India works on cutting-edge projects spanning computer vision, natural language processing, and machine learning systems that power products used by billions.
Internship Details
Key Responsibilities
Skills Required
2. Settyl – ML Engineering Intern
Company Overview: Settyl offers an AI-powered visibility platform that optimizes end-to-end supply chain workflows across multiple countries. Built on a low-code engine, it provides real-time, actionable insights to suppliers, shippers, and logistics providers.
Internship Details
Key Responsibilities
Skills Required
3. Microsoft Research India – ML Research Intern
Company Overview: Microsoft Research India is renowned for its groundbreaking work in AI, machine learning, and computer science. The lab collaborates with academic institutions and contributes to Microsoft's products while publishing research in top-tier venues.
Internship Details
Key Responsibilities
Skills Required
4. S.S. Rana & Co. – Legal AI Intern
Company Overview: S.S. Rana & Co. is a trusted full-service Indian law firm, specializing in intellectual property and corporate law since 1989. They're leveraging AI to transform legal processes and documentation.
Internship Details
Key Responsibilities
Skills Required
5. Aaans Services Private Limited – Financial AI Intern
Company Overview: Aaans Services is a Bangalore-based firm focusing on Financial Artificial Intelligence. They're applying innovative AI solutions to accounting, payroll, and financial reporting.
Internship Details
Key Responsibilities
Skills Required
6. Amazon – Applied Science Intern
Company Overview: Amazon's machine learning teams work on cutting-edge recommender systems, natural language processing, and computer vision to power various aspects of their e-commerce, cloud, and device ecosystems.
Internship Details
Key Responsibilities
Skills Required
7. Wiredleap Technology – Computer Vision Intern
Company Overview: Wiredleap builds AI-powered solutions using machine learning, computer vision, and edge AI. They specialize in real-time analytics for public safety, smart surveillance, crowd monitoring, and anomaly detection.
Internship Details
Key Responsibilities
Skills Required
8. TensorGo Software – Computer Vision Research Intern
Company Overview: TensorGo Software specializes in cutting-edge AI technologies, particularly in computer vision applications across industries like healthcare, retail, and manufacturing.
Internship Details
Key Responsibilities
Skills Required
9. Alien Brains – Generative AI Intern
Company Overview: Alien Brains is a creative tech company redefining learning experiences and event engagement. From immersive event experiences to innovative ed-tech platforms, they craft custom solutions that captivate and inspire.
Internship Details
Key Responsibilities
Skills Required
10. NDFM Business World – ML Product Intern
Company Overview: NDFM Business World creates innovative software solutions designed to help businesses thrive. They build tech solutions ranging from mobile apps to SaaS platforms, enhancing scalability, usability, and impact.
Internship Details
Key Responsibilities
Skills Required
11. Maxgen Technologies – ML Engineering Intern
Company Overview: Maxgen Technologies is a global tech company offering training and services in web development, SAP, and mobile apps. They're expanding their AI/ML offerings to complement their existing services.
Internship Details
Key Responsibilities
Skills Required
12. MentorBoxx – AI Education Intern
Company Overview: MentorBoxx aims to bridge the gap between classroom learning and industry needs. Their platform connects students with industry mentors, live projects, and hands-on experience to build job-ready professionals.
Internship Details
Key Responsibilities
Skills Required
Core Requirements: What Companies Look for in ML Interns
Across all 12 internships, certain skills consistently appear as requirements:
Technical Skills
1. Programming Languages:
- Python (primary)
- SQL for database operations
- R (for statistical applications)
- Java/C++ (for production systems)
2. ML Frameworks & Libraries:
- PyTorch/TensorFlow for deep learning
- Scikit-learn for traditional ML algorithms
- Pandas/NumPy for data manipulation
- NLTK/spaCy/Hugging Face for NLP
- OpenCV for computer vision
3. Math & Statistics:
- Linear algebra fundamentals
- Probability and statistics
- Calculus (for optimization algorithms)
- Information theory basics
4. Data Skills:
- Data cleaning and preprocessing
- Feature engineering techniques
- Data visualization (Matplotlib, Seaborn, Plotly)
- Understanding of data structures and algorithms
5. MLOps Knowledge:
- Basic understanding of ML pipelines
- Version control (Git)
- Familiarity with cloud platforms (AWS, GCP, Azure)
- Docker containerization (basic)
Soft Skills
- Problem-solving ability: The capacity to break down complex problems into manageable components.
- Communication skills: Ability to explain technical concepts to non-technical stakeholders.
- Teamwork: Collaborating effectively with cross-functional teams.
- Learning agility: Quickly picking up new tools, technologies, and domains.
- Critical thinking: Evaluating approaches, identifying limitations, and suggesting improvements.
How to Land Your Dream ML Internship: Application Strategy
With fierce competition for top ML internships, here's a strategic approach to maximize your chances:
1. Build a Strong Foundation
Focus areas
2. Create a Standout Resume
Key elements
3. Develop an Online Presence
Essential platforms
4. Prepare for Technical Interviews
Common assessments
5. Application Timeline Management
Strategic timing
More from AICurator:
Conclusion: Beyond the Internship
Machine learning internships are just the launchpad for your AI career. The real win? You’ll pick up hands-on experience, mentorship, and industry contacts that put you miles ahead in India’s surging AI market.
Don’t just chase a stipend—focus on building those real-world ML chops, understanding business problems, and sharpening your domain knowledge.
The best ML pros aren’t just coders; they’re problem-solvers who get both tech and business.
Use your internship to level up, stay curious, and you’ll be primed to ride the AI wave that’s shaking up every industry in 2025.
