(Junior) Data Scientist (m/w/d) Search / AI Forge
Core
Building scalable AI solutions for search and ranking across CHECK24 products, focusing on semantic search, relevance prediction, and agent-based workflows.
Role type
Junior Applied Machine Learning Engineer (Search & Ranking)
Builds
Production search and ranking systems for e-commerce, web navigation, and travel domains
Domain
Applied Machine Learning, Information Retrieval, Search Technology
Deliverable
production ML models
Required skills
Python, PyTorch, classical ML (Gradient Boosting, Regression, Feature Engineering), LLM applications and evaluation, 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 and A/B tests; Research and translate approaches in IR and LLMs into customer value; Develop and fine-tune models for semantic search and ranking; Build and improve ML services for retrieval and query understanding; Deploy prototypes to production services; Utilize agent-based engineering workflows for prototyping
Seniority
Junior, hands-on IC
