AI/ML Intern

Role Overview

ETDOX is looking for a motivated AI/ML Intern to join our growing technology team. You will work on real-world Artificial Intelligence and Machine Learning projects, contribute to product development, experiment with modern AI technologies, and collaborate with developers and other interns. This is a hands-on role suitable for students, freshers, and aspiring AI/ML Engineers, Data Scientists, and Generative AI Engineers who want practical startup experience.

Responsibilities

• Develop and implement Machine Learning and AI models for real-world applications.
• Collect, clean, preprocess, and analyze datasets.
• Perform exploratory data analysis (EDA) and feature engineering.
• Train, evaluate, and optimize ML models.
• Work with supervised and unsupervised learning techniques.
• Experiment with Deep Learning models when required.
• Work with Generative AI, LLMs, RAG, and AI agents.
• Build prototypes and integrate AI/ML models into applications.
• Use Python libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and TensorFlow/PyTorch.
• Work with APIs, databases, and cloud-based AI services where required.
• Document experiments, models, results, and technical decisions.
• Collaborate with the engineering team to improve AI-powered products.
• Research emerging AI/ML technologies and identify opportunities to apply them.

Requirements

• Good understanding of Python.
• Basic understanding of Machine Learning concepts and algorithms.
• Familiarity with NumPy, Pandas, and Scikit-learn.
• Understanding of data preprocessing and model evaluation.
• Basic knowledge of statistics and probability.
• Familiarity with Git/GitHub.
• Strong problem-solving and analytical skills.
• Ability to learn new technologies quickly.

Skills

• Python
• NumPy
• Pandas
• Scikit-learn
• TensorFlow

Nice to Have

• Knowledge of Deep Learning.
• Experience with TensorFlow or PyTorch.
• Knowledge of Generative AI / LLMs.
• Familiarity with LangChain, RAG, AI Agents, or vector databases.
• Experience with FastAPI, Flask, Streamlit, or similar frameworks.
• Knowledge of SQL and databases.
• Exposure to AWS, Azure, or other cloud platforms.
• Previous AI/ML projects on GitHub.

Benefits

• Hands-on experience working on real AI/ML projects.
• Exposure to production-oriented AI development.
• Opportunity to work with modern Generative AI and LLM technologies.
• Mentorship and technical guidance.
• Startup environment with significant learning opportunities.
• Certificate and experience letter upon successful completion.
• Opportunity for PPO / full-time employment based on performance and company requirements.
• Commuter assistance
• Flexible schedule
• Paid sick time
• Paid time off
• Work from home