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Senior Data Scientist(m/w/x)
End-to-end ML pipeline productionization for high-temperature refractory manufacturing systems. Proficiency in Vector Indexes and LLM implementation required. Annual public transport pass, mental and physical health platform.
Anforderungen
- Degree in Data Science, related field, or comparable qualification
- Experience building production-grade ML systems
- Proficiency in SQL and data modeling
- Experience with Vector Indexes and LLMs
- Experience with unified data/AI platforms
- Fluent English skills
- Relevant cloud or data/AI certifications
- Familiarity with Generative AI and MLOps
Aufgaben
- Design, build, and deploy end-to-end AI and ML solutions
- Develop and maintain ML pipelines for batch and real-time use cases
- Productionize ML models via APIs or batch inference
- Implement telemetry, A/B testing, drift detection, and automated monitoring
- Build reliable data preparation and feature engineering components
- Optimize model training and inference performance and cost
- Manage hardware selection, caching, vectorization, and quantization
- Develop scalable endpoints for model deployment
- Establish and maintain CI/CD workflows for ML systems
- Contribute to platform standards, documentation, and runbooks
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- pandas
- numpy
- scikit-learn
- PyTorch
- TensorFlow
- Git
- Docker
- SQL
- MLflow
- Databricks
- Unity Catalog
Benefits
Flexibles Arbeiten
- Up to 50% home office
- Flexible, trust-based working hours
Öffi Tickets
- Annual public transport pass
Team Events & Ausflüge
- Sponsorship of sporting events
Mentale Gesundheitsförderung
- Mental & physical health platform
Gratis oder Vergünstigte Mahlzeiten
- On-site café
Sonstige Zulagen
- Daily food allowance
Mitarbeiterrabatte
- Corporate benefits platform
Sonstige Vorteile
- Global benefits
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Senior Data Scientist(m/w/x)
End-to-end ML pipeline productionization for high-temperature refractory manufacturing systems. Proficiency in Vector Indexes and LLM implementation required. Annual public transport pass, mental and physical health platform.
Anforderungen
- Degree in Data Science, related field, or comparable qualification
- Experience building production-grade ML systems
- Proficiency in SQL and data modeling
- Experience with Vector Indexes and LLMs
- Experience with unified data/AI platforms
- Fluent English skills
- Relevant cloud or data/AI certifications
- Familiarity with Generative AI and MLOps
Aufgaben
- Design, build, and deploy end-to-end AI and ML solutions
- Develop and maintain ML pipelines for batch and real-time use cases
- Productionize ML models via APIs or batch inference
- Implement telemetry, A/B testing, drift detection, and automated monitoring
- Build reliable data preparation and feature engineering components
- Optimize model training and inference performance and cost
- Manage hardware selection, caching, vectorization, and quantization
- Develop scalable endpoints for model deployment
- Establish and maintain CI/CD workflows for ML systems
- Contribute to platform standards, documentation, and runbooks
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- pandas
- numpy
- scikit-learn
- PyTorch
- TensorFlow
- Git
- Docker
- SQL
- MLflow
- Databricks
- Unity Catalog
Benefits
Flexibles Arbeiten
- Up to 50% home office
- Flexible, trust-based working hours
Öffi Tickets
- Annual public transport pass
Team Events & Ausflüge
- Sponsorship of sporting events
Mentale Gesundheitsförderung
- Mental & physical health platform
Gratis oder Vergünstigte Mahlzeiten
- On-site café
Sonstige Zulagen
- Daily food allowance
Mitarbeiterrabatte
- Corporate benefits platform
Sonstige Vorteile
- Global benefits
Über das Unternehmen
RHI Magnesita GmbH
Branche
Manufacturing
Beschreibung
The company is the global leader in refractories, supplying advanced products and services for high-temperature industrial processes.
Noch nicht perfekt?
- craftworks GmbH
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Vollzeitmit HomeofficeSeniorWienab 67.400 / Jahr - Becton, Dickinson and Company
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Vollzeit/Teilzeitmit HomeofficeSeniorWienab 52.136 / Jahr - Sportradar
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Vollzeitmit HomeofficeSeniorWien - Simon-Kucher
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