AI Intern

5 days ago

Bucharest, Bucureşti, Romania Deutsche Telekom Services Europe Romania (DTSE Romania) Full time €15,000 - €30,000 per year

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)

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