Becton, Dickinson and Company
Senior Machine Learning Engineer(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSenior
Wien
ab 52.136 / Jahr
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RHRHI Magnesita GmbH
Senior Data Scientist(m/w/x)
Wien
from 65,000 / year
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- english – Fluent
Tools & Technologies
- 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
Flexible Working
- Up to 50% home office
- Flexible working hours
Public Transport Subsidies
- Annual public transport pass
Social Impact
- Sponsorship of sporting events
Mental Health Support
- Mental & physical health platform
Free or Subsidized Food
- Company café
Additional Allowances
- Daily food allowance
Corporate Discounts
- Corporate benefits platform
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of RHI Magnesita GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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RHRHI Magnesita GmbH
Senior Data Scientist(m/w/x)
Wien
from 65,000 / year
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- english – Fluent
Tools & Technologies
- 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
Flexible Working
- Up to 50% home office
- Flexible working hours
Public Transport Subsidies
- Annual public transport pass
Social Impact
- Sponsorship of sporting events
Mental Health Support
- Mental & physical health platform
Free or Subsidized Food
- Company café
Additional Allowances
- Daily food allowance
Corporate Discounts
- Corporate benefits platform
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of RHI Magnesita GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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.
Noch nicht perfekt?
- Becton, Dickinson and Company
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Manager Data Science(m/w/x)
Vollzeitmit HomeofficeManagementWienab 90.000 / Jahr