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Senior Data Scientist / AI Specialist (MLOps, LLMs, Generative AI)

Relocation
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Key Highlights
End-to-end AI/ML solutions with focus on LLMs and agentic architectures
MLOps integration for scalable generative AI pipelines
Collaboration with cross-functional teams (Finance, HR, Marketing)
Key Responsibilities
Design and implement AI/ML solutions for business problems
Develop and deploy custom AI systems using LLMs and agentic architectures
Ensure scalability and robustness of AI solutions via MLOps practices
Analyze large datasets (tabular, time-series, text) for actionable insights
Collaborate with Finance, HR, and Marketing teams on data-driven projects
Stay updated on advancements in generative AI, data science, and machine learning
Technical Skills Required
Python (Pandas, PySpark, scikit-learn, PyTorch, transformers) MLOps (Azure ML, MLflow, CI/CD pipelines) LLMs & Agentic AI (LangChain, FastAPI, RAG)
Benefits & Perks
Permanent employment contract with competitive compensation
30 days vacation + flexitime account
Hybrid working culture with weekly home office days
Continuous learning opportunities (seminars, webinars, e-learning)
Discounts on well-known brands and subsidized meals
Relocation support for international candidates
Fitness and health benefits (company doctor, shuttle service)
Nice to Have
Focus on time-series analysis or anomaly detection
Experience with SAP HANA, SAP SAC, or SAP Datasphere
Specialized knowledge in visualization tools (Tableau, Superset, Apache ECharts)

Job Description

Knauf Information Services GmbH is seeking dedicated individuals to contribute to our data science and AI products by delivering end-to-end solutions, including problem and metric definition, data collection, model development, validation, deployment, and monitoring, to solve business problems.

Key responsibilities include:

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