Our Natural Language Processing (NLP) team is an R&D unit focused on the research, development, and deployment of indigenous language models, automation systems, and software assistants integrated into unmanned aerial vehicles and critical infrastructures. By merging academic expertise with engineering discipline, we generate solutions for real-world challenges in the defense, aerospace, and critical infrastructure sectors.

POSITION OBJECTIVE:

This internship program is designed for students eager to participate in research, prototyping, and experimental studies on large language models and natural language processing technologies. Our interns will have the opportunity to bridge academic knowledge with production environments by taking active roles in real R&D projects.

WHAT AWAITS YOU:

• Contributing to research and development efforts conducted on Transformer-based language models
• Conducting experimental studies on RAG (Retrieval-Augmented Generation) architectures and vector databases
• Developing prototype solutions for NLP tasks such as text classification, entity recognition, summarization, and question-answering
• Supporting the team in model fine-tuning (LoRA, QLoRA) and inference optimization
• Performing literature reviews and sharing current research papers and methodologies within the team
• Documenting experimental results and contributing to reproducible code infrastructure

GENERAL QUALIFICATIONS:

• At least a 3rd-year student in Computer Engineering, Software Engineering, Artificial Intelligence, Electrical-Electronics, or equivalent engineering departments; or in positive sciences such as Mathematics, Physics, or Statistics
• Proficiency in Python programming; habit of writing clean and readable code
• Conceptual mastery of machine learning and deep learning fundamentals
• Proficiency in English at a level to read and understand technical documentation

ADDITIONAL QUALIFICATIONS:

• Basic experience in model training/evaluation with PyTorch or TensorFlow
• Experience with LLM frameworks such as Hugging Face Transformers, LangChain, or LlamaIndex
• Experience working with FAISS, Chroma, or similar vector databases
• Participation in personal projects, Kaggle competitions, Teknofest, or academic studies in the fields of NLP or machine learning
• Familiarity with the command line in Linux environments and basic bash/shell scripting
• Basic knowledge of version control using Git
• Interest in reliability, explainability (XAI), or responsible AI applications