AI Intern - NLP

Which challenges are expecting you: Working with algorithms that process natural language data, building, tuning, and validating NLP models Large Language Models (prompt design, fine-tuning, evaluating LLM-based systems) Implementation of new functionalities to our framework by applying best software practices (Developing ML pipelines) Technical-business communication (Stakeholder management, storytelling, producing/delivering results to the business side, explaining AI decisions in understandable ways) Generating and applying new NLP solutions (Text preprocessing, exploratory data analysis on text, modeling, fine-tuning LLMs, prompt engineering, ...) Conducting AI/NLP research for possible new solutions (chatbots, semantic search, document summarization, etc.) To be successful in this role, you should be: Enrolled in a Master’s degree program - the field is not important, your skills are! Advanced in both written and spoken English Familiar with working on team projects (expressing your technical ideas, accepting feedback) and you are confident in your communication Highly motivated with the clear goal of learning how to apply academic knowledge into real-world problems Independent and capable of tackling new challenges Technical and additional skills: Statistics - solid academic experience in statistics (you can define and interpret basic terms and apply the knowledge in projects) Critical and analytical thinking Resourcefulness – you know how to get to the answer and propose a solution :) (you can look up a solution to your problems, you can navigate yourself in the endless supply of information and research new interesting ideas) Python – basic knowledge is a must, university projects are a plus; experience using NLP libraries such as NLTK, spaCy, Hugging Face Transformers, or OpenAI APIs is a strong advantage SQL is a plus (for handling structured datasets)