✨ The Role in One Sentence

AI Engineer to develop intelligent features using Natural Language Processing and generative AI, contributing to the advancement of data-driven applications.

📋 What You'll Likely Do

• 40%: Implement NLP workflows using libraries like spaCy, NLTK, and Hugging Face Transformers.

• 30%: Develop KI-based features with techniques like Clustering and Knowledge Graphen.

• 30%: Integrate AI features into Python backends with FastAPI and ensure quality through automated tests.

🧑‍💻 Profiles Doing This Job

• High Priority: Experience with NLP libraries such as spaCy, NLTK, and Hugging Face Transformers.

• High Priority: Knowledge in techniques like semantic search and Retrieval Augmented Generation.

• High Priority: Experience with Python backends and relational, NoSQL, and vector databases.

📈 How This Role Will Look on Your CV

• Developed and implemented AI-based features using NLP and generative KI techniques.