Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 3.175 € Brutto/Monat
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
KI Zusammenfassung
In dieser Rolle entwickelst du Machine Learning Modelle, nutzt NLP zur Datenanalyse und verbesserst kontinuierlich die Performance der Algorithmen, um datengestützte Lösungen zu liefern.
Job Technologien
Deine Rolle im Team
- Decode the data – Leverage natural language processing (NLP) to extract meaning from diverse datasets.
- Think like a scientist – Formulate hypotheses, uncover patterns, and pinpoint optimization opportunities.
- Build smarter AI – Develop, fine-tune, and deploy machine learning models using Torch and TensorFlow.
- Bridge research & reality – Transform cutting-edge algorithms into production-ready solutions.
- Keep models sharp – Monitor, enhance, and continuously improve model performance and accuracy.
- Expand the data universe – Identify and integrate new data sources to enrich our intelligence.
- Collaborate & innovate – Work with cross-functional teams to tackle business challenges with data-driven solutions.
Unsere Erwartungen an dich
Ausbildung
- Bachelor’s degree (or higher) in Computer Science, Statistics, Mathematics or related fields
- Master’s degree in a related field
Qualifikationen
- Must-haves:
- Knowledge of SQL and relational databases
- Bonus points for:
- Understanding of cloud-based services, especially Google Cloud Platform or AWS
- Knowledge of NoSQL database systems
- Knowledge of agile software development techniques
Erfahrung
- 3+ years of experience in a data science environment
- Experience with NLP or other machine learning technologies
- Good experience in working with Python and Scala
- Experience with machine learning techniques and tools like Torch or Tensorflow
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Mehr Netto
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Prewave
Wien
Prewave is an AI startup building a global supply chain intelligence platform. Our technology analyzes social & news media in 50+ languages and detects and predicts disruption and sustainability risks. It is our goal to make local risks globally visible in order to make tomorrow’s supply chains more transparent, resilient and sustainable.
Description
- Unternehmensgröße
- 1-49 Employees
- Gründungsjahr
- 2017
- Sprachen
- Deutsch, Englisch
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Internet, IT, Telekom, Wissenschaft, Forschung