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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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- Go
- Java
- Spark
- PySpark
- AWS
- LLMs
- CI/CD
Benefits
Flexibles Arbeiten
- Flexible working hours
Weiterbildungsangebote
- Trainings and learning lunches
- Tech conferences
- Budget for workshops
Snacks & Getränke
- Free breakfast snack
Gratis oder Vergünstigte Mahlzeiten
- Free canteen lunch
Mehr Urlaubstage
- 30 days vacation
Workation & Sabbatical
- 10 days working from abroad
Moderne Technikausstattung
- Free choice of office equipment
- Up-to-date hardware and software
Modernes Büro
- Modern office spaces
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- Axel Springer News Media NationalVollzeitmit 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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- Go
- Java
- Spark
- PySpark
- AWS
- LLMs
- CI/CD
Benefits
Flexibles Arbeiten
- Flexible working hours
Weiterbildungsangebote
- Trainings and learning lunches
- Tech conferences
- Budget for workshops
Snacks & Getränke
- Free breakfast snack
Gratis oder Vergünstigte Mahlzeiten
- Free canteen lunch
Mehr Urlaubstage
- 30 days vacation
Workation & Sabbatical
- 10 days working from abroad
Moderne Technikausstattung
- Free choice of office equipment
- Up-to-date hardware and software
Modernes Büro
- Modern office spaces
Über das Unternehmen
Axel Springer News Media National
Branche
Media
Beschreibung
Das Unternehmen investiert in zukunftsweisende Technologien und glaubt an die Zukunft von Journalismus als Geschäftsmodell.
Noch nicht perfekt?
- Axel Springer News Media National
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Vollzeitmit HomeofficeSeniorBerlin - nerdware GmbH
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Vollzeitmit HomeofficeSeniorBerlin - OLX
Principal Machine Learning Engineer (Search Platform)(m/w/x)
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