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TeamViewer | Linz, Austria | Posted June 12, 2026
Position Overview
Responsibilities
Problem Framing & Strategy: Collaborate closely with Product and Engineering teams to define and frame high-impact problems, determining data requirements and designing robust data collection and annotation strategies.Data Preparation & Feature Engineering: Process and analyze large volumes of unstructured text data, performing essential tasks such as tokenization, normalization, and advanced feature extraction.Modeling & Innovation: Design, build, and rigorously evaluate cutting-edge AI architecture.Experimentation & Validation: Execute comprehensive experiments (including A/B testing), define key evaluation metrics (like F1-score, ROUGE, or perplexity), and optimize model performance against business objectives.Deployment Collaboration: Partner effectively with ML and Software Engineers to transition solutions from research prototypes to robust, scalable...