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