6 beste Stellen als data scientist in graz st – aktuell auf Personalsuche

AI & Digitalization Engineer (m/f/d) for 20h/week
Segula Technologies —Graz, ST
- Teilzeit
- Master
Direkt bewerben
10 Tage
AI & Digitalization Engineer (m/f/d) for 20h/week
ANDRITZ AG —Graz, ST
- Master
10 Tage
Technical Scientist
Research Center Pharmaceutical Engineering GmbH —Graz, ST
- Vollzeit
- Bachelor
3 Tage
Data Scientist / AI Engineer (d/m/f)
ams-OSRAM AG —Unterpremstätten, ST
- Vollzeit
- Bachelor
Direkt bewerben
4 Tage
Austria / University Graz: University Assistant with doctorate
MathHire.org —Graz, ST
- Vollzeit
- Doktorat
4 Tage
Data Scientist / AI Engineer (d/m/w)
ams-OSRAM AG —Unterpremstätten, ST
- Vollzeit
Direkt bewerben
4 Tage

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AI & Digitalization Engineer (m/f/d) for 20h/week
Segula Technologies —Graz, ST
Develop, implement, and optimize machine learning and AI models, with a strong emphasis on LLMs. Build and deploy intelligent agents using low-code environments…
Direkt bewerben
10 Tage
AI & Digitalization Engineer (m/f/d) for 20h/week
ANDRITZ AG —Graz, ST
Your mission is to transform business requirements into scalable AI solutions—leveraging LLMs, automation platforms, and low-code agent development environments…
10 Tage

Develop, implement, and optimize machine learning and AI models, with a strong emphasis on LLMs.
Build and deploy intelligent agents using low-code environments such as Microsoft Copilot Studio.
Implement automation solutions using platforms such as Power Automate to streamline workflows and integrate AI capabilities.
Contribute to high-code AI development using Azure AI Foundry (preferred).
Collaborate with data scientists, domain experts, and IT teams to translate business needs into technical solutions.
Ensure high standards of data quality, security, governance, and compliance.
Support design of scalable AI architectures, including modular agentic systems.
Maintain documentation, testing, monitoring, and continuous improvement of AI systems.
Stay up to date on emerging AI technologies and trends

Strong knowledge of Machine Learning, AI, and LLM-based architectures.
Experience in data science workflows (data preparation, training, evaluation, deployment).
Strong Python programming skills and familiarity with ML/AI libraries.
Experience with low-code AI agent development (Copilot Studio) and automation tools (Power Automate).
Strong plus: experience with high-code AI platforms (Azure AI Foundry).
Experience with cloud-based AI systems (Azure ecosystem preferred).
Ability to translate business requirements into technical solutions.
Strong analytical and problem-solving mindset.
Ability to structure complex problems and develop scalable AI solutions.
Clear communication with technical and non-technical stakeholders.
Team spirit and ability to collaborate across organizational boundaries.
Curiosity, adaptability, and willingness to learn emerging AI technologies.
Reliable, self-driven, and solution-oriented work ethic.