Are you interested in diving headfirst into the cutting-edge world of Artificial Intelligence? Look no further than the Artificial Intelligence Services team in Bucharest, a dynamic team within international AI Shared Services team of Deutsche Telekom. Our mission is to innovate and deploy AI-powered use cases for German companies within the Deutsche Telekom Group, using technologies such as natural language processing and time-series-based business solutions.

Our team is one of the newest and fastest-growing in the organization, with an infectious spirit and a drive to succeed. As a student, you have the opportunity to join our team on a flexible, part-time basis, with the potential for long-term collaboration. Not only will you gain valuable experience working with a top-tier team, but you will also have the chance to make an impact in the exciting and rapidly evolving field of AI.

So if you’re looking for a challenging and rewarding opportunity to grow your skills and explore the forefront of AI technology, come join us at the Artificial Intelligence Incubator!

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 – ideally IT, engineering or Data Science degree
• 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)