Natural Language Processing (NLP) Intern

As a member of the advanced NLP research team, you will have the opportunity to work on cutting-edge natural language processing technologies, develop language models, and contribute to groundbreaking AI solutions. This collaborative learning opportunity is centered around transformer architectures, large language models, and real-world NLP applications. **Key Responsibilities:** - Research and implement state-of-the-art NLP techniques including transformer models, BERT, GPT architectures, and large language models. - Develop and fine-tune language models for text classification, sentiment analysis, named entity recognition, and question-answering systems. - Build NLP pipelines using Python frameworks like spaCy, NLTK, Hugging Face Transformers, TensorFlow, and PyTorch. - Conduct data preprocessing, tokenization, text cleaning, and feature engineering for large-scale text datasets. - Implement and evaluate advanced NLP applications including chatbots, machine translation, and conversational AI systems. - Collaborate with cross-functional teams on multilingual modeling, semantic search, and retrieval-augmented generation (RAG) systems. - Document research findings, create technical reports, and present progress through regular team presentations. **Required Qualifications:** **Must-Haves** - Bachelors or Masters degree in Computer Science, Computational Linguistics, Data Science, or related field (final year students or recent graduates). - Strong programming proficiency in Python with experience in NumPy, Pandas, and machine learning libraries. - Understanding of NLP fundamentals including text representation techniques, n-grams, word embeddings, and neural language models. - Knowledge of deep learning concepts and experience with TensorFlow, PyTorch, or similar frameworks. - Solid foundation in statistics, linear algebra, and machine learning algorithms. **Nice-to-Haves** - Hands-on experience with transformer architectures, attention mechanisms, and large language models like GPT, BERT, or T5. - Familiarity with prompt engineering, fine-tuning techniques, and parameter-efficient training methods. - Experience with cloud platforms (AWS, GCP, Azure) for model deployment and distributed training. - Knowledge of computational linguistics, syntax, semantics, and multilingual processing. - Previous experience with NLP competitions, open-source contributions, or research publications. This job opportunity offers a 6-month duration, with working hours from 09:00 AM to 06:00 PM (Monday to Friday) at Ganesh Glory 11, Jagatpur, Ahmedabad, 382470 for an offline internship.,