(Junior) Data Scientist (m/f/d) Search / AI Forge
Core
Develop and improve scalable AI solutions for search and ranking across CHECK24 products, combining classical information retrieval with deep learning, embeddings, and Large Language Models.
Role type
Junior Applied Machine Learning Engineer (Search & Ranking)
Builds
Production search and ranking services for e-commerce, travel, and web-style navigation
Domain
Applied Machine Learning, Information Retrieval, Search Engineering
Deliverable
production ML models
Required skills
Python, PyTorch, classical machine learning (gradient boosting, regression, feature engineering), LLM applications and evaluation, API development (FastAPI), containerization (Docker), Git, systematic model evaluation
Preferred skills
Information retrieval, semantic search, recommender systems, learning-to-rank
Technologies
Python, FastAPI, Docker, PyTorch, vector databases
Responsibilities
Develop ML services for retrieval, ranking, query understanding, and classification; create evaluation datasets and metrics; build production-ready services from prototypes; research approaches in information retrieval and LLMs
Seniority
Junior, hands-on IC
