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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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- numpy
- scikit-learn
- PyTorch
- TensorFlow
- Git
- Docker
- SQL
- MLflow
- Databricks
- Unity Catalog
Benefits
Flexible Working
- Up to 50% home office
- Flexible, trust-based working hours
Public Transport Subsidies
- Annual public transport pass
Team Events
- Sponsorship of sporting events
Mental Health Support
- Mental & physical health platform
Free or Subsidized Food
- On-site café
Additional Allowances
- Daily food allowance
Corporate Discounts
- Corporate benefits platform
Other Benefits
- 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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- numpy
- scikit-learn
- PyTorch
- TensorFlow
- Git
- Docker
- SQL
- MLflow
- Databricks
- Unity Catalog
Benefits
Flexible Working
- Up to 50% home office
- Flexible, trust-based working hours
Public Transport Subsidies
- Annual public transport pass
Team Events
- Sponsorship of sporting events
Mental Health Support
- Mental & physical health platform
Free or Subsidized Food
- On-site café
Additional Allowances
- Daily food allowance
Corporate Discounts
- Corporate benefits platform
Other Benefits
- Global benefits
About the Company
RHI Magnesita GmbH
Industry
Manufacturing
Description
The company is the global leader in refractories, supplying advanced products and services for high-temperature industrial processes.
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