Senior Software Engineer Machine Learning (mfd)
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
Key Skills
About Company
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