Tasks

• Design, development and optimization of machine learning and deep learning models
• Conception, implementation and optimization of NLP solutions, LLMs and RAG architectures
• Construction of retrieval and knowledge layers for semantic search with embeddings as well as vector or graph databases
• Setup, deployment and operation of ML and GenAI services
• Building and operating scalable data pipelines

qualification

• At least 7 years of professional experience as an AI / ML / Data Engineer
• Completed studies in computer science, mathematics, physics, data science or comparable qualification
• Several years of experience with programming languages ​​such as Python
• Solid expertise in the development and optimization of machine learning and deep learning models using TensorFlow or PyTorch
• Extensive experience in NLP as well as with LLM and RAG architectures
• Professional experience in building retrieval and knowledge layers for semantic search with embeddings as well as vector or graph databases
• Excellent knowledge of the design and operation of scalable data pipelines using Apache Spark or SQL and ETL tools.