Dein persönlicher KI-Karriere-Agent
Senior Data Scientist(m/w/x)
Building end-to-end AI/ML solutions for refractory production, including LLM agent patterns and vector indexes. Production-grade ML systems experience required. Up to 50% home office, flexible hours.
Anforderungen
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field
- Experience building production-grade ML systems
- Proficiency in SQL and data modeling
- Experience with Vector Indexes, Embedding Models, LLM agent patterns, ingestion pipelines, and model serving frameworks
- Experience with unified data/AI platforms like Databricks
- Familiarity with writing and debugging LLM tools in OOP python format
- Focus on Generative AI (prompting, RAG, vector search) and MLOps
Aufgaben
- Design and build end-to-end AI and ML solutions
- Deploy ML solutions for critical business processes
- Shape the future of AI in the refractory industry
- Develop and maintain ML pipelines for training and deployment
- Productionize ML models via APIs and 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
- Select hardware for optimal model performance
- Implement caching, vectorization, and quantization
- Create scalable endpoints for ML models
- Establish and maintain CI/CD workflows for ML systems
- Contribute to platform standards and documentation
- Maintain runbooks for ML systems
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- english – fließend
Tools & Technologien
- Python
- pandas
- numpy
- scikit-learn
- PyTorch
- TensorFlow
- Git
- Docker
- SQL
- Vector Indexes
- Embedding Models
- LLM agent patterns
- MLflow
- Databricks
- Unity Catalog
- Generative AI
- prompting
- RAG
- vector search
- MLOps
Benefits
Flexibles Arbeiten
- Up to 50% home office
- Flexible working hours
Öffi Tickets
- Annual public transport pass
Gemeinnützige Ausrichtung
- Sponsorship of sporting events
Mentale Gesundheitsförderung
- Mental & physical health platform
Gratis oder Vergünstigte Mahlzeiten
- Company café
Sonstige Zulagen
- Daily food allowance
Mitarbeiterrabatte
- Corporate benefits platform
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Senior Data Scientist(m/w/x)
Building end-to-end AI/ML solutions for refractory production, including LLM agent patterns and vector indexes. Production-grade ML systems experience required. Up to 50% home office, flexible hours.
Anforderungen
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field
- Experience building production-grade ML systems
- Proficiency in SQL and data modeling
- Experience with Vector Indexes, Embedding Models, LLM agent patterns, ingestion pipelines, and model serving frameworks
- Experience with unified data/AI platforms like Databricks
- Familiarity with writing and debugging LLM tools in OOP python format
- Focus on Generative AI (prompting, RAG, vector search) and MLOps
Aufgaben
- Design and build end-to-end AI and ML solutions
- Deploy ML solutions for critical business processes
- Shape the future of AI in the refractory industry
- Develop and maintain ML pipelines for training and deployment
- Productionize ML models via APIs and 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
- Select hardware for optimal model performance
- Implement caching, vectorization, and quantization
- Create scalable endpoints for ML models
- Establish and maintain CI/CD workflows for ML systems
- Contribute to platform standards and documentation
- Maintain runbooks for ML systems
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- english – fließend
Tools & Technologien
- Python
- pandas
- numpy
- scikit-learn
- PyTorch
- TensorFlow
- Git
- Docker
- SQL
- Vector Indexes
- Embedding Models
- LLM agent patterns
- MLflow
- Databricks
- Unity Catalog
- Generative AI
- prompting
- RAG
- vector search
- MLOps
Benefits
Flexibles Arbeiten
- Up to 50% home office
- Flexible working hours
Öffi Tickets
- Annual public transport pass
Gemeinnützige Ausrichtung
- Sponsorship of sporting events
Mentale Gesundheitsförderung
- Mental & physical health platform
Gratis oder Vergünstigte Mahlzeiten
- Company café
Sonstige Zulagen
- Daily food allowance
Mitarbeiterrabatte
- Corporate benefits platform
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
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?
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