If you’re aiming to build a career in Artificial Intelligence or Machine Learning, the AI/ML Engineer Intern role at Makunai Global is a strong opportunity to gain real-world experience. This internship is designed for students and fresh graduates who want hands-on exposure to building machine learning models, working with data, and deploying AI solutions in production environments.
With the growing demand for AI-driven SaaS products, companies like Makunai Global are actively hiring interns who can contribute to building intelligent systems. This 6-month full-time internship in Noida offers the chance to work closely with experienced engineers and contribute to real product development.
Job Details
| Field | Details |
|---|---|
| Company Name | Makunai Global |
| Role | AI/ML Engineer Intern |
| Job Type | Internship |
| Duration | 6 Months |
| Location | Noida |
| Experience | 0–6 Months |
| Qualification | B.Tech / BE / Data Science or related |
| Mode | Work From Office |
| Stipend | Not Disclosed |
| Department | Engineering |
About the Company
Makunai Global is a fast-growing SaaS startup focused on building scalable and cloud-native solutions for the software industry. The company emphasizes innovation, speed, and ownership, making it an exciting place for interns to learn and grow.
Working in a startup environment means you won’t just observe—you’ll actively contribute to real projects that impact users. This makes it an ideal opportunity for those who want to gain practical experience rather than just theoretical knowledge.
Role Overview
As an AI/ML Engineer Intern, you will be involved in the complete lifecycle of machine learning development—from data preparation to model deployment. You will work alongside data engineers, backend developers, and product teams to build intelligent features and data-driven solutions.
This role is perfect for candidates who want exposure to real-world ML workflows, including data analysis, model training, performance optimization, and deployment.
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Key Responsibilities
- Build, train, and evaluate machine learning models for tasks like prediction, classification, and recommendation
- Work with large datasets for cleaning, preprocessing, and transformation
- Implement ML algorithms using libraries like Scikit-learn, TensorFlow, or PyTorch
- Perform exploratory data analysis (EDA) using Pandas, Matplotlib, or Seaborn
- Assist in deploying ML models using APIs or batch pipelines
- Collaborate with engineering teams to integrate AI features into products
- Optimize models through feature engineering and hyperparameter tuning
- Document experiments, workflows, and model performance
- Participate in Agile development processes such as sprint planning and reviews
Who Can Apply
| Criteria | Details |
|---|---|
| Education | B.Tech / BE / Data Science / Related Fields |
| Experience | 0–6 Months or Project Experience |
| Skills | Python, ML Fundamentals |
| Availability | Full-time for 6 months |
| Location | Must be able to work from Noida |
Required Skills
- Strong programming skills in Python
- Understanding of Machine Learning concepts (supervised & unsupervised learning)
- Knowledge of algorithms like regression, classification, and clustering
- Familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch
- Basic understanding of data structures and algorithms
- Experience with Pandas, NumPy, and data analysis tools
- Knowledge of Git and version control systems
- Strong analytical and problem-solving skills
Preferred Skills (Good to Have)
- Experience with Deep Learning, NLP, or Computer Vision projects
- Familiarity with SQL and databases
- Exposure to cloud platforms like AWS, Azure, or GCP
- Understanding of MLOps and model deployment pipelines
- Experience with visualization tools like Tableau or Power BI
- Participation in hackathons or Kaggle competitions
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What You’ll Get
- Hands-on experience with real-world AI/ML projects
- Opportunity to deploy machine learning models in production
- Exposure to modern tools, frameworks, and cloud technologies
- Mentorship from experienced engineers
- Collaborative startup environment where your ideas matter
- Strong foundation for future AI/ML or data science roles
Why You Should Apply
This internship stands out because it offers real exposure to production-level machine learning systems. Unlike many internships where interns only assist, here you will actively contribute to building and deploying models.
Here’s why this role is valuable:
- Work on real-world SaaS products
- Gain experience in end-to-end ML lifecycle
- Learn how to integrate AI into live applications
- Build a strong portfolio with practical projects
- Get exposure to startup culture and fast-paced development
If you’re serious about building a career in AI/ML, this internship can significantly boost your technical skills and industry readiness.
How to Apply
To apply for the Makunai Global AI/ML Engineer Intern role, follow these steps:
- Prepare a strong resume highlighting AI/ML projects
- Include GitHub links or portfolio showcasing your work
- Highlight experience with Python, ML models, or data analysis
- Practice ML fundamentals and coding before interviews
- Apply by clicking the official application button below
Before applying, make sure you have at least one practical project such as a recommendation system, chatbot, or predictive model. This will greatly increase your chances of selection.
Disclaimer This job information is collected from official and public sources. We do not charge any fees for job applications. We do not guarantee recruitment or selection. Applicants are advised to verify details from the official source before applying. We are not responsible for any loss arising from reliance on this information.
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