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