AI/ML Intern – Fresher / Undergraduate

Position: AI/ML Intern
Experience: Fresher / 0–1 Year
Employment Type: Internship
Eligibility: Undergraduate Students & Fresh Graduates
Location: Remote

About the Role

We are looking for a motivated AI/ML Intern who is interested in Artificial Intelligence, Machine Learning, and data-driven applications.

This opportunity is designed for undergraduate students and fresh graduates who have a basic understanding of programming and want to gain practical experience by working on real-world AI/ML projects.

As an AI/ML Intern, you will work with the development team on data preparation, model development, experimentation, testing, and implementation of machine learning solutions.

Key Responsibilities

- Assist in developing and testing Machine Learning models.
- Collect, clean, and preprocess datasets for ML applications.
- Perform basic Exploratory Data Analysis (EDA).
- Implement and experiment with different machine learning algorithms.
- Train, evaluate, and improve ML models.
- Analyze model performance using appropriate evaluation metrics.
- Work with structured datasets and identify useful patterns.
- Assist in integrating ML models into applications or APIs.
- Research AI/ML techniques and experiment with suitable approaches.
- Debug and troubleshoot basic issues in ML workflows.
- Document experiments, results, and findings.
- Collaborate with developers and other team members on AI-driven projects.

Required SkillsMust Have

- Basic knowledge of Python
- Understanding of fundamental Machine Learning concepts
- Basic knowledge of:
- Supervised Learning
- Unsupervised Learning
- Classification
- Regression
- Understanding of basic data preprocessing techniques
- Basic knowledge of NumPy and Pandas
- Familiarity with Matplotlib or Seaborn
- Basic understanding of model evaluation
- Positive logical and problem-solving skills
- Willingness to learn and experiment

Good to Have

- Familiarity with Scikit-learn
- Basic understanding of SQL




- Knowledge of Jupyter Notebook / Google Colab
- Basic understanding of Deep Learning
- Familiarity with TensorFlow or PyTorch
- Basic knowledge of NLP or Computer Vision
- Understanding of Git and GitHub
- Familiarity with REST APIs
- Experience working with AI APIs or pre-trained models

Eligibility

- Currently pursuing an undergraduate degree in Computer Science, Information Technology, Engineering, Data Science, AI/ML, or a related field.
- Fresh graduates are also welcome to apply.
- Candidates with 0–1 year of experience can apply.
- Candidates who have completed academic, personal, or internship-based AI/ML projects are encouraged to apply.

What We Look For

We are more interested in your fundamentals, curiosity, and willingness to experiment than professional experience.

You should:

- Have a genuine interest in AI and Machine Learning.
- Understand basic programming and mathematical concepts.
- Be comfortable working with datasets.
- Be willing to learn through experimentation.
- Have good analytical and problem-solving skills.
- Be able to explain your approach and findings clearly.
- Be willing to work collaboratively with a development team.

What You Will Learn

During the internship, you will gain practical exposure to:

- Machine Learning workflows
- Data cleaning and preprocessing
- Exploratory Data Analysis
- Feature engineering fundamentals
- Model training and evaluation
- Machine Learning algorithms
- Model optimization fundamentals
- AI/ML project development
- Working with real-world datasets
- Integrating ML models with applications
- Git and collaborative development
- Industry-oriented AI/ML practices

Preferred Academic / Personal Projects

Candidates with projects such as the following are encouraged to apply:

- Student Performance Prediction
- House Price Prediction
- Customer Churn Prediction
- Spam Detection
- Sentiment Analysis
- Recommendation System
- Image Classification
- Chatbot
- Sales/Business Prediction
- Any other AI/ML-based academic or personal project

Pay: ₹10,000.00 - ₹20,000.00 per month

Benefits:

- Flexible schedule

Work Location: Remote

📌 AI/ML Intern (India)
🏢 We-intern
📍 India