AI/ML Intern

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
• Good 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