Logo idealo internet GmbH

Machine Learning Ops Engineer - Personalization

New

Job

  • Level
    Experienced
  • Job Field
    IT, Data, DevOps
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Berlin
  • Working Model
    Onsite
  • Job Summary

    In this role, you will develop scalable, cloud-native ML infrastructures on AWS and design production pipelines for personalized recommendations while closely collaborating with Data Scientists.

    Job Technologies

    Your role in the 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.

    This text has been machine translated. Show original

    Our expectations of you

    Qualifications

    • Strong communication and collaboration skills across technical and non-technical teams, with excellent written and spoken English; German is a plus.

    Experience

    • At least three years of professional experience as a Machine Learning Engineer, Software Engineer or Cloud Engineer, including exposure to production ML systems.
    • Starke Python-Programmierkenntnisse und Erfahrung im Aufbau cloud-native Lösungen, idealerweise auf 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.

    This text has been machine translated. Show original

    What we offer

    • 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 a 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!

    This text has been machine translated. Show original

    Benefits

    Work-Life-Integration

    Health, Fitness & Fun

    Topics that you deal with on the job

    Job Locations

    • Location Berlin

      Germany

    This is your employer

    idealo internet GmbH

    idealo internet GmbH

    Idealo is a Berlin-based internet company that has been around since 2000. Our goal has always been to help our users make the best online purchase decisions.

    Description

  • Company Size
    250+ Employees
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Internet, IT, Telecommunication
  • Logo idealo internet GmbH

    Machine Learning Ops Engineer - Personalization

    Location
    Berlin
    Working Model
    Onsite
    Diversity
    Open for all genders

    More Jobs