Level: Senior

Job Field: Data

Employment Type: Full Time

Contract Type: Permanent employment

Salary: 3.724 to 4.346€ Gross/Month

Location: Linz

Working Model: Hybrid, Onsite

Job Summary

In this position, you will closely collaborate with product and engineering teams to develop data-driven solutions, analyze large text datasets, and design AI architectures while optimizing model performance.

Job Technologies

Your role in the team

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.
Process and analyze large volumes of unstructured text data, performing essential tasks such as tokenization, normalization, and advanced feature extraction.
Design, build, and rigorously evaluate cutting-edge AI architecture.
Execute comprehensive experiments (including A/B testing), define key evaluation metrics (like F1-score, ROUGE, or perplexity), and optimize model performance against business objectives.
Partner effectively with ML and Software Engineers to transition solutions from research prototypes to robust, scalable, and maintainable production systems.

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Our expectations of you

Qualifications

Strong proficiency in Python and expert-level familiarity with key ML libraries (e.g., Hugging Face, SpaCy, NLTK) and deep learning frameworks (TensorFlow or PyTorch).
Proven ability to preprocess, analyze, and manage large-scale text datasets, and comfort working with SQL/NoSQL databases in a big data environment.
You are a clear and compelling communicator with the ability to simplify highly complex AI/NLP concepts and technical findings into actionable insights for both engineers and non-technical product/business leaders.
You easily adapt to working cross-functionally, proactively collaborating with Engineering and Product teams to align technical solutions with business goals and drive project completion.
You demonstrate high ownership over your models, from initial concept design through to production performance monitoring, and can manage ambiguity effectively.