(Junior) Data Scientist (m/w/d) Search / AI Forge
Core
Building scalable AI solutions for search and ranking across CHECK24 products, focusing on agent workflows, semantic search, and learning-to-rank to improve user experience for millions of customers.
Role type
Junior Applied Machine Learning Engineer (Search & AI)
Builds
Production search and ranking systems combining classical IR, Deep Learning, Embeddings, and LLMs for E-commerce, web navigation, and travel.
Domain
Search & Ranking, Applied Machine Learning, Information Retrieval
Deliverable
production ML models
Required skills
Python, PyTorch, Gradient Boosting, Regression, Feature Engineering, LLM evaluation, Tool Use, Agent workflows, API development, Containerization, Git, Information Retrieval, Semantic Search, Learning-to-Rank
Preferred skills
Deep Learning, Embeddings, Large Language Models, Vectors databases
Technologies
Python, FastAPI, Docker, PyTorch, Vectors databases
Responsibilities
Create evaluation datasets and metrics for offline evaluations, user signals, and A/B tests; Research and translate promising approaches in IR, Recommender Systems, and LLMs into measurable customer value; Develop and improve ML services for retrieval, ranking, query understanding, and classification; Combine lexical retrieval, embeddings, neural models, and LLM-based components in hybrid search solutions; Deploy prototypes into production-ready services using Python, FastAPI, Docker, and vector databases; Utilize modern AI-driven and agent engineering workflows for efficient prototyping and continuous improvement.
Seniority
Junior, hands-on IC
