Junior Machine Learning Specialist

About the internship

Selected intern's day-to-day responsibilities include

1. Collect and preprocess data for training generative text models.

1. Design and implement a generative model for text data.

1. Train models efficiently and effectively, with a clear understanding of concepts like overfitting, underfitting, and the bias-variance tradeoff.

1. Evaluate model performance using appropriate metrics.

1. Use the trained model to generate text based on given prompts.

1. Document all stages of the model development process, from data preparation to model evaluation.

Skill(s) required

APIs Deep Learning Django Golang Machine Learning Natural Language Processing (NLP) Neural Networks Python REST API Rust

Who can apply

Only those candidates can apply who

1. are available for full time (in-office) internship

1. can start the internship between 8th Jun'26 and 13th Jul'26

1. are available for duration of 2 months

1. have relevant skills and interests

Other requirements

1. The candidate should be capable of using Python libraries such as NLTK or SpaCy for preprocessing tasks.

1. Experience with deep learning libraries such as PyTorch or TensorFlow, along with familiarity with architectures like Recurrent Neural Networks, Transformer models, or GPT-based models, is essential.