Level: Senior

Job Field: Data

Employment Type: Full Time

Contract Type: Permanent employment

Salary: from 3.843 € Gross/Month

Location: Linz

Working Model: Hybrid, Onsite

Job Summary

In this role, you will develop and optimize advanced NLP models, analyze large volumes of unstructured text data, and implement scalable solutions in close collaboration with product and engineering teams.

Job Technologies

Your role in the team

Arbeite eng mit den Produkt- und Engineering-Teams zusammen, um hochwirksame NLP-Probleme zu definieren und zu umreißen, Datenanforderungen zu ermitteln sowie robuste Strategien für Datenerfassung und -annotation zu entwickeln.
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 machine learning and deep learning NLP models, including advanced architectures like transformer networks and sequence models.
Execute comprehensive experiments (including A/B testing), define key NLP evaluation metrics (like F1-score, ROUGE, or perplexity), and optimize model performance against business objectives.
Partner effectively with ML and Software Engineers to transition NLP 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 NLP and 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 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.