Natural Language Processing (NLP) InternFull-time

ole Overview

Join our advanced NLP research team to explore cutting-edge natural language processing technologies, develop language models, and contribute to groundbreaking AI solutions. This collaborative learning opportunity focuses on 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

• Bachelor’s or Master’s 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

Learning Outcomes and Development

• Gain hands-on experience with cutting-edge NLP research methodologies and transformer-based architectures through mentorship from senior researchers
• Master industry-standard NLP tools, frameworks, and development practices including Hugging Face ecosystem and modern deployment strategies
• Develop expertise in large language model applications, fine-tuning, and evaluation techniques for real-world business problems
• Build comprehensive understanding of NLP ethics, bias evaluation, and responsible AI practices in language technologies
• Access to state-of-the-art computational resources and participation in research projects with potential for academic publications
• Enhanced technical communication skills through regular presentations, code reviews, and collaborative research discussions

Duration: 6 months
Hours: 09:00 AM to 06:00 PM (Monday to Friday)
Location: Ganesh Glory 11, Jagatpur, Ahmedabad, 382470 (Offline Internship)