About the Internship
Selected intern's day-to-day responsibilites include:1. Working with Python and libraries such as NumPy, Pandas, and Matplotlib for data analysis and experimentation.
2. Applying core machine learning concepts, including supervised and unsupervised learning, classification, regression, and clustering.
3. Contributing to deep learning tasks by implementing neural networks and experimenting with frameworks like TensorFlow or PyTorch.
4. Performing data preprocessing and handling both structured and unstructured datasets, including writing basic SQL queries.
5. Collaborating using Git/GitHub, working with APIs, and assisting in engineering tasks.
6. Applying mathematical concepts (linear algebra, probability, statistics, calculus) to solve AI-related problems.
7. Communicating findings clearly and working effectively within a team environment.
Number of Openings
1 openingsPerks of this Internship
Recommendation letter Flexible work hours Certificate
Other Requirements
1. are available for the work from home job/internship
2. have relevant skills and interests
3. can start the work from home job/internship between 11th Sep'25 and 16th Oct'25
4. are available for duration of 3 months
5. have already graduated or are currently in any year of study
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