AI/ML Intern

About the Role

• Opportunity for freshers to learn, build, and grow under the guidance of experienced engineers.
• Work on real-world machine learning projects.

Key Responsibilities

• Assist in collecting, cleaning, and preparing datasets for model training.
• Build, train, and evaluate basic ML/DL models.
• Experiment with algorithms and document results.
• Support the team in deploying and testing models.
• Research new tools, techniques, and research papers relevant to our projects.

Requirements & Tech Stack

• Basic knowledge of Python and libraries like NumPy, Pandas, and Scikit-learn.
• Understanding of core ML concepts (regression, classification, clustering, overfitting).
• Familiarity with TensorFlow or PyTorch is a plus.
• Strong problem-solving skills and eagerness to learn.

Qualifications

• Currently pursuing or recently completed a B.Tech/M.Tech in CS, Data Science, AI, or a related field.
• Good to Have:
• Personal or academic ML projects (GitHub link preferred).
• Basic knowledge of SQL, Git, or NLP/Computer Vision.
• Participation in Kaggle or hackathons.