Role Overview

We are looking for a passionate and creative AI/ML Intern who can bridge the gap between complex machine learning concepts and clear, engaging content. You will be equally involved in writing and visual design making AI/ML accessible to learners and professionals alike.

Responsibilities

Write clear, structured explanations of ML algorithms, concepts, and use cases
Design interactive visuals, diagrams, and infographics to illustrate AI/ML topics
Develop educational content such as tutorials, blog posts, and explainer articles
Create engaging presentations and learning modules on ML concepts
Collaborate with the team to ensure technical accuracy and creative quality
Research emerging AI/ML trends and translate them into digestible content

Requirements

Basic understanding of Machine Learning concepts (supervised, unsupervised, deep learning)
Strong written communication skills in English
Familiarity with design tools (Canva, Figma, or similar)
Ability to simplify complex technical topics for non-technical audiences
Currently pursuing or recently completed a degree in CS, Data Science, or related field

Nice to Have

Experience with Python or ML libraries (scikit-learn, TensorFlow, PyTorch)
Portfolio of technical writing or design work
Knowledge of tools like Jupyter Notebook, Notion, or Webflow
Understanding of Neural Networks architecture, layers, activation functions, and training
Familiarity with Deep Learning topics such as:
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs) & LSTMs
- Transformers & Attention Mechanisms
- Generative AI (GANs, Diffusion Models)
- Natural Language Processing (NLP)
- Computer Vision fundamentals
Ability to explain the above topics visually or through written content