Level: Erfahren

Job Feld: Software, Data

Anstellung: Vollzeit

Vertragsart: Unbefristetes Dienstverhältnis

Gehalt: ab 3.843 € Brutto/Monat

Ort: Linz

Arbeitsmodell: Hybrid, Onsite

Job Zusammenfassung

In dieser Position entwickelst du fortschrittliche ML- und DL-Modelle, führst Datenanalysen durch und implementierst MLOps-Praktiken, um KI-Modelle erfolgreich in Produktionsumgebungen zu integrieren.

Job Technologien

Deine Rolle im Team

Develop and deploy advanced machine learning and deep learning models for real-world applications.
Build and refine high-quality datasets, ensuring robustness and relevance.
Conduct data analysis to guide model development and validate performance.
Manage the end-to-end ML lifecycle — from training and tuning to validation and deployment.
Implement MLOps practices (CI/CD, monitoring, automation).
Work with Python and core AI/ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).
Containerize models using Docker for scalable deployment.
For LLM applications: design and test prompts, evaluate outputs, and support data labeling and fine-tuning.
Collaborate with Product Owners, Software Engineers, and QA teams to integrate AI models into production.

Unsere Erwartungen an dich

Qualifikationen

Solid understanding of ML algorithms, deep learning architectures, and statistical modeling.
Familiarity with Docker and CI/CD pipelines.
Excellent analytical and problem-solving skills.

Erfahrung

Proven experience developing and deploying ML models in production.
Strong Python skills and hands-on experience with PyTorch, TensorFlow, or scikit-learn.
Experience with feature engineering, data preprocessing, and MLOps tools.