Data Science Intern - Machine Learning and Large Language Models

About AI Superior

Established in 2019, AI Superior is a pioneering AI agency offering comprehensive AI development and consulting services ahead of the current industry hype. Our clientele spans startups, NGOs, and global firms including Boehringer Ingelheim, Siemens, and the European Space Agency. We guide our clients through the full project lifecycle, from proof of concept to production, focusing on Data Science, Machine Learning, and AI consultancy. Operating primarily from Germany with a presence throughout Europe, we embrace fully remote work, flat organizational structures, and emphasize innovation and expertise advancement.

Role Overview

We seek a driven Data Science Intern to join our remote, full-time team. The role centers on contributing to genuine client projects with a special emphasis on Large Language Models (LLMs). This position offers a prime opportunity to deepen expertise in AI and gain substantial hands-on experience across multiple Machine Learning and AI topics.

Responsibilities

• Engage in AI and ML initiatives focusing on LLM techniques such as prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and performance evaluation.
• Assist in developing and testing end-to-end machine learning pipelines from initial data handling stages through to deployment.
• Perform data cleaning, annotation, and preprocessing tasks to ensure data quality and relevance.
• Contribute to building internal resources including tools, software packages, and reusable components.
• Prepare and deliver presentations, comprehensive technical reports, and analytical insights.
• Keep updated with the latest advancements in LLM research and evaluate their potential integration into client solutions.

Required Qualifications

• Enrollment in or recent completion of a Master's or Ph.D. program in Computer Science, Mathematics, Statistics, or a related quantitative discipline.
• Strong programming skills in Python with proficiency in data science libraries such as NumPy, pandas, scikit-learn, and matplotlib.
• Solid grasp of core machine learning concepts including classification, regression, model validation, and feature engineering.
• Awareness and understanding of LLMs and transformer architectures (e.g., GPT, LLaMA, Mistral) gained through academic studies, projects, or self-learning.
• Fluency in German (both written and spoken) and good command of English.

Preferred Skills

• Working knowledge of LLM-related frameworks like LangChain, LlamaIndex, or Hugging Face Transformers.
• Experience with fine-tuning or assessing language models.
• Familiarity with vector databases and retrieval methods based on embeddings.
• Basic understanding of software development practices including object-oriented programming, version control with Git, and CI/CD pipelines.
• Exposure to cloud computing platforms such as AWS, GCP, or Azure.
• Active involvement in communities reflected by GitHub repositories, Kaggle competitions, or published research.
• German language skills are advantageous but not mandatory.

Terms and Conditions

• This is a paid internship position.
• The role is fully remote and full-time, requiring adherence to your academic institution's guidelines.
• Minimum internship duration is six months.
• Flexible working schedules to balance work and academic commitments.
• Opportunity to work on projects that directly impact clients and reach production.
• Mentorship by seasoned Data Scientists and Machine Learning Engineers.
• Dynamic startup culture with flat hierarchies and ample growth opportunities.