Working Student at Fraunhofer Institute for Integrated Circuits IIS developing AI solutions in Data Science and NLP. Focusing on innovative applications and cutting-edge technologies in generative AI and machine learning.
Responsibilities
Work with latest technologies in industrial and research projects, focusing on generative AI, machine learning, and transformer models.
Develop innovative AI solutions using Large Language Models (LLMs) such as GPT-5, BERT, or Google Gemini.
Transform unstructured, domain-specific data into vector databases and build application-oriented Retrieval-Augmented Generation (RAG) systems.
Apply fine-tuning, prompt engineering, and other techniques to maximize the accuracy and performance of LLMs.
Support data integration, ETL processes, and the modeling and structuring of knowledge.
Develop web applications and interfaces for chatbot systems and knowledge management tools.
Actively contribute to data interpretation and bring ideas for new AI use cases.
Requirements
Currently pursuing a Master’s degree (minimum 1st semester) in Computer Science, Business Informatics, Data Science, Artificial Intelligence, or Software Engineering.
Initial practical experience in Machine Learning, Generative AI, Natural Language Processing (NLP), and AI algorithms.
Strong programming skills in Python, including proficiency in libraries such as pandas, numpy, scikit-learn, transformers, PyTorch, sentence-transformers, and spaCy.
First experience or keen interest in Retrieval-Augmented Generation (RAG) and Agentic-RAG, including text preprocessing, chunking, embeddings, semantic search, reranking, and output tuning.
Initial experience in developing web applications and APIs using Flask, FastAPI, Streamlit, or REST APIs.
Confident use of modern development environments/IDEs (e.g., Visual Studio Code).
Reliable team player with a high motivation to learn and strong engagement.
Interest in a long-term collaboration (minimum 6 months).
Benefits
Flexible working hours that are perfectly compatible with your studies.
Open and friendly working atmosphere in which your ideas are valued.
Variety of tasks that inspire and challenge you.
Application-oriented research experience.
Opportunity to write a master's thesis in cooperation with the institute.
Job title
Working Student – Data Science, Natural Language Processing
Senior Health Data Scientist leading complex data extraction and modeling for healthcare solutions at Inovalon. Collaborating with multidisciplinary teams to deliver data - driven insights.
Data Scientist developing machine learning solutions and delivering insights for operational decisions. Collaborating with stakeholders to apply analytical techniques and improve business outcomes.
Data Scientist responsible for modeling and analyzing credit risk at CAIXA Consórcio. Utilizing data - driven insights to support strategic decision - making in credit operations.
Data Scientist optimizing payments ecosystem for Preply, enhancing user experience through data - driven insights. Collaborating with teams to improve payment processes and fraud management.
Staff Data Scientist at Preply developing data strategies for product domains. Collaborating with executives to drive long - term strategy and experimentation frameworks.
Data Manager leading data strategy and governance for Global Payments Solutions at Bank of America. Managing data architecture aligning with business and regulatory needs while overseeing complex data ecosystems.
Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
Data Scientist in AI SaaS integrating 100+ systems for a European unicorn - in - the - making. Ensure scalability, security, and performance in a high - growth environment.
Data Science Intern working on AI - driven recipe and hardware optimization problems in semiconductor processes. Developing machine learning models and collaborating with engineering teams for innovative solutions.
Senior Data Scientist at LexisNexis developing AI - driven solutions for legal analytics. Collaborating with teams to implement machine learning models and monitor performance metrics.