Senior Software Engineer Machine Learning (mfd)

Axel Springer News Media National

Job Location:

Berlin - Germany

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Architect and build scalable recommender systems end-to-end from feature engineering and modeling to reliable production serving
Implement and integrate modern AI and LLM-based capabilities into scalable production systems
Write clean maintainable and testable production-quality code with a strong focus on reliability and long-term maintainability
Take full ownership of ML systems in production including deployment monitoring performance optimisation and system resilience
Enable controlled experimentation and continuous optimisation of recommender systems in production environments
Proactively experiment with new approaches tools and architectures to continuously improve recommender performance and system design
Collaborate closely with data scientists software engineers data engineers and product managers to integrate ML solutions into scalable production-ready system architectures
Continuously improve engineering standards tooling experimentation practices and system robustness

Qualifications :

Several years of hands-on experience operating machine learning systems in production at scale
Strong software engineering fundamentals including system design clean architecture testing strategies CI/CD and code reviews
Solid data science foundation in recommender systems
Proficiency in Python and working knowledge of backend languages such as Go or Java with experience building and operating ML systems in distributed cloud-based environments (e.g. Spark/PySpark AWS
Practical experience integrating modern AI systems such as LLMs into real-world applications
Experience designing observable resilient and scalable ML systems (monitoring logging alerting performance tracking)
Strong background in experimentation and controlled rollouts in production environments
A pragmatic solution-oriented mindset with a strong builder mentality and ownership attitude
Ability to operate confidently as a senior engineer within cross-functional product and engineering teams
Excellent communication skills in English; German skills are an advantage

Additional Information :

your personal growth is important to us: we offer trainings and learning lunches tech conferences a budget for workshops and much more to expand your knowledge and your skills
flexible working hours support a healthy work-life balance
our free food offer: in addition to a breakfast snack we also offer a free lunch in our canteens
30 days vacation plus 10 days working from abroad
free choice of top-notch office equipment (also for your remote work space and private usage) up-to-date hardware software and modern office spaces that provide you with maximum flexibility
collaboration thrives on direct exchange - we rely on 80% office presence and 20% mobile working
from now a permanent full- or part-time position in a modern office in the heart of Berlin: most frequently asked questions and their answers can be found on our FAQ page: is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender nationality ethnic and social origin religion ideology disability age sexual orientation and identity.

You can find information about the representation for the severely disabled at Axel Springer here: Work :
No

Employment Type :
Full-time

Architect and build scalable recommender systems end-to-end from feature engineering and modeling to reliable production servingImplement and integrate modern AI and LLM-based capabilities into scalable production systemsWrite clean maintainable and testable production-quality code with a strong foc...

Architect and build scalable recommender systems end-to-end from feature engineering and modeling to reliable production serving
Implement and integrate modern AI and LLM-based capabilities into scalable production systems
Write clean maintainable and testable production-quality code with a strong focus on reliability and long-term maintainability
Take full ownership of ML systems in production including deployment monitoring performance optimisation and system resilience
Enable controlled experimentation and continuous optimisation of recommender systems in production environments
Proactively experiment with new approaches tools and architectures to continuously improve recommender performance and system design
Collaborate closely with data scientists software engineers data engineers and product managers to integrate ML solutions into scalable production-ready system architectures
Continuously improve engineering standards tooling experimentation practices and system robustness

Qualifications :

Several years of hands-on experience operating machine learning systems in production at scale
Strong software engineering fundamentals including system design clean architecture testing strategies CI/CD and code reviews
Solid data science foundation in recommender systems
Proficiency in Python and working knowledge of backend languages such as Go or Java with experience building and operating ML systems in distributed cloud-based environments (e.g. Spark/PySpark AWS
Practical experience integrating modern AI systems such as LLMs into real-world applications
Experience designing observable resilient and scalable ML systems (monitoring logging alerting performance tracking)
Strong background in experimentation and controlled rollouts in production environments
A pragmatic solution-oriented mindset with a strong builder mentality and ownership attitude
Ability to operate confidently as a senior engineer within cross-functional product and engineering teams
Excellent communication skills in English; German skills are an advantage

Additional Information :

your personal growth is important to us: we offer trainings and learning lunches tech conferences a budget for workshops and much more to expand your knowledge and your skills
flexible working hours support a healthy work-life balance
our free food offer: in addition to a breakfast snack we also offer a free lunch in our canteens
30 days vacation plus 10 days working from abroad
free choice of top-notch office equipment (also for your remote work space and private usage) up-to-date hardware software and modern office spaces that provide you with maximum flexibility
collaboration thrives on direct exchange - we rely on 80% office presence and 20% mobile working
from now a permanent full- or part-time position in a modern office in the heart of Berlin: most frequently asked questions and their answers can be found on our FAQ page: is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender nationality ethnic and social origin religion ideology disability age sexual orientation and identity.

You can find information about the representation for the severely disabled at Axel Springer here: Work :
No

Employment Type :
Full-time

Key Skills

Laboratory Experience
Vendor Management
Design Controls
C/C++
FDA Regulations
Intellectual Property Law
ISO 13485
Research Experience
SolidWorks
Research & Development
Internet Of Things
Product Development

Apply Now

About Company

Axel Springer News Media National

Wir im Team Content Partnerships sind begeistert davon, neue Wege zu gehen und Veränderungen als Chancen zu begreifen. Unsere Tätigkeitsbereiche sind vielfältig, die Schwerpunkte liegen in der Betreuung und dem Ausbau verschiedener Kooperationen und der Weiterentwicklung der Commerce- ... View more

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