Natural Language Processing (NLP) Intern
Full-time Unpaid Collaboration Internship
01
Available Positions
Fresher's having BE (IT/CS/CE), BSc.(IT/CS,CE), BCA, MCA, MBA (IT/CS/CE)
Experience
Bachelor's degree in Computer Science, AI/ML, Data Science, or related field (final year students or recent graduates)
Qualification
AI R&D
Department
Role 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
This unpaid internship represents a collaborative knowledge-sharing opportunity in the rapidly advancing field of natural language processing. Outstanding performers will be considered for full-time positions based on research contributions, technical innovation, and demonstrated expertise in NLP technologies.
Duration: 6 months
Hours: 09:00 AM to 06:00 PM (Monday to Friday)
Location: Ganesh Glory 11, Jagatpur, Ahmedabad, 382470 (Offline Internship)