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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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