Job
- Level
- Erfahren
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du skalierbare, cloud-native ML-Infrastrukturen auf AWS und entwirfst Produktions-Pipelines für personalisierte Empfehlungen, während du eng mit Data Scientists zusammenarbeitest.
Job Technologien
Deine Rolle im Team
- Everyone at idealo bases decisions on data. Our vision is to transform idealo from a transactional price comparison platform into a personalised shopping companion that inspires users throughout their entire product discovery journey.
- To make this vision a reality, we are looking for a Machine Learning Engineer (m|f|x) who is passionate about building scalable, cloud-native machine learning systems. Working in a cross-functional team alongside Product Managers, UX Designers, Software Engineers and Data Scientists, you will help create personalised experiences that make shopping more relevant, engaging and inspiring for millions of users.
- You will help shape one of idealo's most strategic product initiatives: Personalisation.
- You will work closely with our Data Scientists throughout the entire machine learning lifecycle. While they focus on developing and validating machine learning models, your focus will be designing the cloud infrastructure, ML pipelines and operational tooling that enable these models to run reliably, scale efficiently and continuously improve in production.
- In this role, you will:
- Build and operate scalable machine learning infrastructure on AWS.
- Design, develop and deploy production-ready ML pipelines covering training, inference, monitoring and automated retraining.
- Bring machine learning models into production for personalized recommendations, discovery feeds, search ranking and related use cases.
- Build cloud-native infrastructure using Infrastructure as Code and modern CI/CD practices.
- Ensure the high availability, observability and operational excellence of ML systems.
- Collaborate closely with Software Engineers, Data Scientists, Product Managers and UX Designers to continuously improve personalized customer experiences.
Unsere Erwartungen an dich
Qualifikationen
- Strong communication and collaboration skills across technical and non-technical teams, with excellent written and spoken English; German is a plus.
Erfahrung
- At least three years of professional experience as a Machine Learning Engineer, Software Engineer or Cloud Engineer, including exposure to production ML systems.
- Strong Python programming skills and experience building cloud-native solutions, ideally on AWS.
- Hands-on experience with Infrastructure as Code, such as Terraform or CDK, as well as CI/CD pipelines.
- Experience with ML platforms such as AWS SageMaker or comparable technologies, including deploying, operating and monitoring models in production.
- Solid knowledge of machine learning concepts and model evaluation; experience with recommendation systems, search, ranking, vector search or embeddings is a strong plus.
Unser Angebot
- We take your personal development goals seriously and, in addition to our idealo Learning Hub, eLearning offerings (e.g., Udemy), coaching & mediation, we also offer you the opportunity to benefit individually from additional learning and development budget.
- Our office in the heart of Berlin offers free organic breakfast, excellent free lunch (vegan and vegetarian), as well as free coffee, lemonades and after-work beer, in addition to the "standard foosball".
- It also has a fabulous rooftop terrace with view of the whole of berlin where you can network with colleagues from our group of companies.
- We offer free counseling and support in all areas of life (professional, private, family, health, etc.) in cooperation with the pme-Familienservice.
- No problem with a job bike or Deutschlandticket - and it's environmentally friendly, too!
- We offer many different fitness and sports options, such as an Urban Sports or Gympass membership, to suit your personal needs.
- In addition to team events, you can also expect big company events and other moments of organized connection with others in the company and your team throughout the year!
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
idealo internet GmbH
idealo ist ein in Berlin gegründetes Internetunternehmen, das seit dem Jahr 2000 besteht. Seit der Gründung hat sich unser Ziel nicht geändert: Wir wollen unseren Nutzern dabei helfen, die besten Online-Kaufentscheidungen zu treffen.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Machine Learning Ops Engineer - Personalization
- Ort
- Berlin
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
