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Senior Software Engineer - Machine Learning(m/w/x)
End-to-end architecture of recommender systems and LLM integration for a global digital publisher. Proven experience operating production-scale machine learning systems required. Flexible working hours, budget for external workshops and tech conferences.
Requirements
- Experience operating machine learning systems
- Strong software engineering fundamentals
- Data science foundation in recommender systems
- Proficiency in Python, Go, or Java
- Experience integrating modern AI and LLMs
- Design of resilient, scalable ML systems
- Background in experimentation and production rollouts
- Pragmatic, solution-oriented builder mentality
- Ability to operate as senior engineer
- Excellent English and advantageous German skills
Tasks
- Architect and build scalable recommender systems end-to-end
- Manage feature engineering and modeling processes
- Ensure reliable production serving for ML models
- Implement modern AI and LLM-based capabilities
- Integrate AI features into scalable production systems
- Write clean, maintainable, and testable production-quality code
- Focus on system reliability and long-term maintainability
- Deploy and monitor ML systems in production
- Optimize performance and ensure system resilience
- Enable controlled experimentation in production environments
- Drive continuous optimization of recommender systems
- Experiment with new tools and architectures
- Improve recommender performance and system design
- Collaborate with data scientists and software engineers
- Partner with data engineers and product managers
- Integrate ML solutions into production-ready architectures
- Improve engineering standards and tooling
- Enhance experimentation practices and system robustness
- Design and operate production-grade ML systems
- Explore new AI-driven approaches for products and journalism
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- Go
- Java
- Spark
- PySpark
- AWS
- LLMs
- CI/CD
Benefits
Flexible Working
- Flexible working hours
Learning & Development
- Trainings and learning lunches
- Tech conferences
- Budget for workshops
Snacks & Drinks
- Free breakfast snack
Free or Subsidized Food
- Free canteen lunch
More Vacation Days
- 30 days vacation
Workation & Sabbatical
- 10 days working from abroad
Modern Equipment
- Free choice of office equipment
- Up-to-date hardware and software
Modern Office
- Modern office spaces
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- Axel Springer News Media NationalFull-timeWith HomeofficeSeniorBerlin
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Senior Software Engineer - Machine Learning(m/w/x)
End-to-end architecture of recommender systems and LLM integration for a global digital publisher. Proven experience operating production-scale machine learning systems required. Flexible working hours, budget for external workshops and tech conferences.
Requirements
- Experience operating machine learning systems
- Strong software engineering fundamentals
- Data science foundation in recommender systems
- Proficiency in Python, Go, or Java
- Experience integrating modern AI and LLMs
- Design of resilient, scalable ML systems
- Background in experimentation and production rollouts
- Pragmatic, solution-oriented builder mentality
- Ability to operate as senior engineer
- Excellent English and advantageous German skills
Tasks
- Architect and build scalable recommender systems end-to-end
- Manage feature engineering and modeling processes
- Ensure reliable production serving for ML models
- Implement modern AI and LLM-based capabilities
- Integrate AI features into scalable production systems
- Write clean, maintainable, and testable production-quality code
- Focus on system reliability and long-term maintainability
- Deploy and monitor ML systems in production
- Optimize performance and ensure system resilience
- Enable controlled experimentation in production environments
- Drive continuous optimization of recommender systems
- Experiment with new tools and architectures
- Improve recommender performance and system design
- Collaborate with data scientists and software engineers
- Partner with data engineers and product managers
- Integrate ML solutions into production-ready architectures
- Improve engineering standards and tooling
- Enhance experimentation practices and system robustness
- Design and operate production-grade ML systems
- Explore new AI-driven approaches for products and journalism
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- Go
- Java
- Spark
- PySpark
- AWS
- LLMs
- CI/CD
Benefits
Flexible Working
- Flexible working hours
Learning & Development
- Trainings and learning lunches
- Tech conferences
- Budget for workshops
Snacks & Drinks
- Free breakfast snack
Free or Subsidized Food
- Free canteen lunch
More Vacation Days
- 30 days vacation
Workation & Sabbatical
- 10 days working from abroad
Modern Equipment
- Free choice of office equipment
- Up-to-date hardware and software
Modern Office
- Modern office spaces
About the Company
Axel Springer News Media National
Industry
Media
Description
Das Unternehmen investiert in zukunftsweisende Technologien und glaubt an die Zukunft von Journalismus als Geschäftsmodell.
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