AI/ML Intern

Role Overview

We are looking for a motivated and technically inclined AI/ML Intern who is interested in working on real-world Artificial Intelligence and Machine Learning projects. The ideal candidate should have a good understanding of AI/ML concepts and practical knowledge of relevant tools and technologies.

Responsibilities

• Assist in developing and implementing AI/ML solutions for real-world projects.
• Collect, clean, preprocess, and analyze datasets.
• Build, train, test, and evaluate Machine Learning models.
• Perform exploratory data analysis and identify meaningful patterns.
• Implement ML algorithms using Python and relevant libraries.
• Research and explore new AI/ML techniques and tools.
• Assist in improving model performance and accuracy.
• Work with the team on assigned AI/ML tasks and projects.
• Document code, experiments, and results.
• Stay updated with current AI/ML technologies and developments.

Requirements

• Good knowledge of Python.
• Understanding of fundamental Machine Learning concepts.
• Knowledge of algorithms such as Linear/Logistic Regression, Decision Trees, Random Forest, KNN, Clustering, and Classification.
• Knowledge of NumPy and Pandas.
• Familiarity with Scikit-learn.
• Understanding of data preprocessing and model evaluation.
• Good analytical and problem-solving skills.
• Ability to learn and work independently.

Nice to Have

• Knowledge of Deep Learning.
• Familiarity with TensorFlow or PyTorch.
• Knowledge of NLP, Generative AI, LLMs, or Computer Vision.
• Experience with AI APIs or AI tools.
• Knowledge of Git/GitHub.
• Previous AI/ML projects or a relevant portfolio.
• Experience working with real-world datasets.

Skills

• Python
• NumPy
• Pandas
• Scikit-learn
• Machine Learning