Level: Experienced

Job Field: Software, 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 advanced ML and DL models, conduct data analyses, and implement MLOps practices to integrate AI models successfully into production environments.

Job Technologies

Your role in the 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.

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Our expectations of you

Qualifications

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

Experience

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.

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