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RERedcare Pharmacy

Staff ML Engineer, Product Recommendations (m/w/x) Köln

Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung

Operating production-grade ML systems for personalized product recommendations at Europe's No.1 e-pharmacy. Extensive hands-on experience with recommender systems and technical ownership required. Work from Home up to 20 days/year in EU, psychologist support.

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Anforderungen

  • Extensive hands-on experience as ML Engineer, ML-focused Software Engineer, or Data Scientist with strong engineering experience
  • Built and operated production-grade ML systems, pipelines, or model-based products
  • Taken technical ownership of complex ML systems
  • Strong experience with recommender systems, ranking, personalization, or product discovery systems
  • Demonstrated technical leadership
  • Influencing architecture, engineering practices, and technical direction
  • Comfortable working with complex data
  • Understanding of common ML failure modes
  • Reasoning about system-level trade-offs
  • Pragmatic technical decisions across model quality, latency, reliability, scalability, and maintainability
  • Enjoyment of working close to the business
  • Ability to explain complex technical topics clearly to stakeholders
  • Ownership of ambiguous, cross-cutting problems
  • Proactive work ethic
  • Driving technical initiatives across team boundaries
  • Value collaboration
  • Giving and receiving feedback openly
  • Actively helping other engineers grow through mentoring and guidance

Aufgaben

  • Design, develop, and operate production-grade ML systems
  • Create relevant and personalized product experiences
  • Create measurable business value
  • Collaborate with Data & AI department colleagues
  • Collaborate with product managers, engineers, and business stakeholders
  • Provide technical leadership for the Recommendations product
  • Define ML system architecture and technical direction
  • Define the longer-term evolution of ML systems
  • Design, build, and operate ML systems for recommendation use cases
  • Translate ambiguous requirements into scalable ML solutions
  • Balance model quality, latency, reliability, scalability, and maintainability
  • Lead technical design and architectural decisions for complex ML initiatives
  • Navigate trade-offs across modeling, data, infrastructure, and product requirements
  • Develop robust ML pipelines for feature engineering, training, evaluation, deployment, monitoring, and continuous model improvement
  • Bring models into production using our cloud-based stack
  • Ensure models are reliable, observable, and maintainable
  • Identify technical risks, gaps, and opportunities across the recommendation stack
  • Drive improvements to increase system effectiveness and scalability
  • Communicate technical decisions, assumptions, limitations, and uncertainty to stakeholders
  • Raise the technical bar through design reviews
  • Mentor team members
  • Share knowledge with the team
  • Establish ML engineering standards and best practices

Berufserfahrung

ca. 4 - 6 Jahre

Ausbildung

Bachelor-AbschlussODER
Master-Abschluss

Sprachen

Englischverhandlungssicher

Benefits

Gesundheits- & Fitnessangebote
  • Urban Sports Club membership
Mentale Gesundheitsförderung
  • Psychologist support
Flexibles Arbeiten
  • Work from Home up to 20 days/year in EU
Öffi Tickets
  • Deutschland Ticket
Mentoring & Coaching
  • Personal development support
Weiterbildungsangebote
  • External trainings

Von Nejo automatisch aufbereitet

Nejo hat diesen Job automatisch von der Website des Unternehmens Redcare Pharmacy erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

Zur Originalanzeige bei Redcare Pharmacy

Über das Unternehmen

RE
PharmaceuticalsKöln

Redcare Pharmacy is Europe’s No.1 e-pharmacy, focused on creating a healthy, collaborative work environment and innovative healthcare solutions.

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