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ZAZalando Marketing Services GmbH

Principal Machine Learning Engineer - ZMS(m/w/x)

Berlin
Vollzeitmit Homeoffice
AI/ML
Data Science

Architecting low-latency recommendation engines for e-commerce fashion. Python, Java Flink, and PyTorch expertise required. 27-30 days holiday, up to 60% remote.

Anforderungen

  • Excellent software development engineering skills for MLOps/MLaaS in production
  • Strong verbal and written communication and presentation abilities
  • Hands-on professional programming experience with Python, Java Flink, pySpark, PyTorch, TensorFlow
  • Strong programming skills with high performance language (Java, Scala, Go)
  • Experience working with Python in production
  • Experience building, deploying, operating data-driven systems in cloud
  • Experience with feature stores & feature engineering pipelines
  • Experience with data ingestion & transformation
  • Experience with machine learning workflow orchestration
  • Thrive to coach and mentor senior engineers
  • Work closely with applied scientists, senior ML engineers, data scientists

Aufgaben

  • Lead real-time recommendation engine development
  • Drive production solution operationalization
  • Cultivate best practices in software development and MLOps
  • Architect machine learning solutions for low latency
  • Mentor engineers across multiple projects
  • Manage competing priorities within timelines
  • Optimize deployed models for performance and latency
  • Collaborate with applied science and engineering teams
  • Work with product managers and business stakeholders
  • Identify new opportunities for state-of-the-art solutions

Ausbildung

  • Bachelor-AbschlussODER
  • Master-Abschluss

Sprachen

  • Englischfließend

Tools & Technologien

  • Python
  • Java Flink
  • pySpark
  • PyTorch
  • TensorFlow
  • Java
  • Scala
  • Go
  • MLOps
  • MLaaS
  • feature stores
  • feature engineering pipelines
  • data ingestion
  • data transformation
  • machine learning workflow orchestration

Benefits

Mehr Urlaubstage

  • 27-30 days of holiday

Sinnstiftende Arbeit

  • 2 paid volunteering days

Flexibles Arbeiten

  • Hybrid working model
  • Up to 60% remote per week

Sonstige Zulagen

  • Work from abroad allowance

Attraktive Vergütung

  • Employee shares program

Mitarbeiterrabatte

  • Employee discounts

Sonstige Vorteile

  • Relocation assistance

Familienfreundlichkeit

  • Family services

Gesundheits- & Fitnessangebote

  • Health and wellbeing options

Mentale Gesundheitsförderung

  • Mental health support

Weiterbildungsangebote

  • Training platform

Mentoring & Coaching

  • Biannual peer-to-peer review
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Zalando Marketing Services GmbH 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.

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