Machine Learning Operations Engineer - Personalization

About the Role

Join idealo internet GmbH in Berlin as a Machine Learning Operations Engineer dedicated to the Personalization product initiative. This role focuses on developing scalable, cloud-based machine learning systems that enhance the user shopping journey by delivering personalized experiences.

Key Responsibilities

• Develop and maintain scalable machine learning infrastructures on AWS cloud services.
• Create and deploy production-level ML pipelines encompassing training, inference, monitoring, and automated retraining processes.
• Implement machine learning models in live environments to support personalized recommendations, discovery feeds, search ranking, and related functionalities.
• Utilize Infrastructure as Code and contemporary CI/CD methodologies to build cloud-native infrastructures.
• Ensure systems exhibit high availability, observability, and operational excellence.
• Work collaboratively with software engineers, data scientists, product managers, and UX designers to continuously enhance personalized customer experiences.

Qualifications and Skills

• Minimum of three years' experience as a Machine Learning Engineer, Software Engineer, or Cloud Engineer with hands-on exposure to production ML systems.
• Advanced programming proficiency in Python and competence in building cloud-native applications, preferably on AWS.
• Practical experience with Infrastructure as Code tools such as Terraform or AWS CDK and implementing CI/CD pipelines.
• Familiarity with ML platforms like AWS SageMaker or equivalent solutions, including deploying, operating, and monitoring machine learning models in production.
• Robust understanding of machine learning concepts, model evaluation techniques; knowledge or experience in recommendation systems, search, ranking, vector search, or embeddings is highly advantageous.
• Strong interpersonal and communication abilities to collaborate effectively with both technical and non-technical team members; fluency in English is required, German language skills are a plus.

Employee Benefits

• Dedicated support for personal development goals including access to idealo Learning Hub, eLearning resources like Udemy, coaching, mediation, and a personal learning and development budget.
• Modern office environment in central Berlin with amenities such as free organic breakfast, vegan and vegetarian lunch options, complimentary beverages, after-work beers, foosball, and an impressive rooftop terrace offering panoramic city views.
• Comprehensive counseling support across professional, personal, family, and health domains in partnership with pme-Familienservice.
• Flexible commuting options including job bike schemes and Deutschlandticket to promote environmentally sustainable travel.
• Various fitness and wellness memberships including Urban Sports and Gympass tailored to individual preferences.
• Regular team and company-wide events to foster community, including celebrations and networking opportunities throughout the year.