Job
- Level
- Senior
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 65.000 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle gestaltest du entscheidende ML-Systeme, entwickelst End-to-End-Pipelines und optimierst Modelle für reale Anwendungen in einem agilen Team, um die Qualität und Effizienz von Datenprozessen zu verbessern.
Job Technologien
Deine Rolle im Team
- At RHI Magnesita, we are transforming how data and AI drive our global operations.
- As a Data Scientist, you will design, build, and deploy end-to-end AI and ML solutions that impact critical business processes across our industrial value chain.
- Joining our central Data & Analytics team, you will collaborate with data engineers, product teams, and domain experts to deliver high-impact AI and ML systems while ensuring data quality, lineage, and governance.
- This is a chance to shape the future of AI at the world's leading refractory company by building models, platforms, and infrastructure that matter.
- Designing, developing, and maintaining end-to-end ML pipelines for training, evaluation, and deployment across batch and real-time use cases.
- Productionizing ML models via APIs or batch inference, including telemetry, A/B testing, drift detection, and automated monitoring.
- Building reliable data preparation and feature engineering components.
- Optimizing model training and inference performance and cost, including hardware selection, caching, vectorization, quantization, and scalable endpoints.
- Establishing and maintaining CI/CD workflows for ML systems, contributing to platform standards, documentation, and runbooks.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics or a related field of study.
Qualifikationen
- Proficiency in SQL and data modeling with EDA for pattern and dependencies identification.
- Languages: English - fluent.
- Nice to have: Any relevant cloud or data/AI certifications. Familiarity with writing and debugging LLM tools in OOP python format, with focus on Generative AI (prompting, RAG, vector search) and MLOps.
Erfahrung
- Several years of experience in building production-grade ML systems, with Python and ML frameworks (pandas, numpy, scikit-learn, PyTorch, TensorFlow) as well as containerization and CI/CD (Git, Docker, orchestration/workflows).
- Experience with Vector Indexes, Embedding Models, LLM agent patterns, ingestion pipelines, and model serving frameworks (e.g., MLflow, Databricks).
- Experience with unified data/AI platforms like Databricks, including Unity Catalog, governance concepts, A/B testing, causal inference, and experimentation platforms.
Unser Angebot
- The annual gross salary for this full-time position starts at € 65,000.00 with a competitive package based on qualifications, experience, and market values.
- Flexibility: Possibility of up to 50% home office and flexible, trust-based working hours.
- Mobility: Annual public transport pass (Wiener Linien).
- Health: Sponsorship of sporting events, platform for mental & physical health (Mavie).
- Plus: Our own café and daily food allowance for numerous restaurants (Europlaza), corporate benefits platform.
- In addition to these local benefits for Vienna, we also offer you many global benefits.
Benefits
Work-Life-Integration
Mehr Netto
Essen & Trinken
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
RHI Magnesita
Wien
Sie suchen den weltweit führenden Anbieter von Feuerfestprodukten? RHI Magnesita ist der richtige Partner für Sie! Wir haben die meisten Standorte auf der ganzen Welt und bieten Ihnen die innovativsten, verlässlichsten Produkte und Dienstleistungen. Bei uns erhalten Sie eine robuste Liefersicherheit sowie Qualitätsgarantie.
Description
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Industrie, Produktion
Senior Data Scientist
- Gehalt
- ab 65.000 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
