Senior Machine Learning Engineer (All genders)

Zalando
Anywhere
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Communication","Data quality focus"]

Enhance Zalando’s recommendation machine learning systems to make them more scalable, efficient, and impactful. Own productionization of ML models by optimizing training/inference pipelines, orchestrating workflows with Apache Airflow, and deploying reliable solutions on AWS for real-time and batch inference. Partner with Applied Scientists, Product, and Software Engineers to improve data quality and reliability and deliver better personalized shopping experiences for millions of customers.

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FursaFursa
Zalando
Zalando
20 hours ago

Senior Machine Learning Engineer (All genders)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Enhance Zalando’s recommendation machine learning systems to make them more scalable, efficient, and impactful. Own productionization of ML models by optimizing training/inference pipelines, orchestrating workflows with Apache Airflow, and deploying reliable solutions on AWS for real-time and batch inference. Partner with Applied Scientists, Product, and Software Engineers to improve data quality and reliability and deliver better personalized shopping experiences for millions of customers.
Location: Anywhere
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and optimize ML pipelines for training, deploying, and monitoring recommendation models.
  • •Productionize ML models by orchestrating workflows with Apache Airflow.
  • •Deploy scalable, reliable solutions on AWS for real-time and batch inference.
  • •Improve data quality and reliability for real-time and batch inference systems.
  • •Collaborate with Applied Scientists, Product, and Software Engineers to shape personalized shopping experiences.

Pay and Benefits

Perks:EquityPaid LeaveRelocationGym MembershipHealth Insurance

Key Requirements

  • •5+ years of experience with PySpark, ML Ops, AWS (SageMaker, CloudFormation), Apache Airflow, Python, and deep learning frameworks (e.g., PyTorch).
  • •Proven experience productionizing ML models and orchestrating ML workflows.
  • •Experience with PySpark on Databricks (or similar) for scalable data processing and ML model inference.
  • •Strong collaboration and communication skills.
  • •Plus experience with feature stores, real-time feature engineering, or Kubernetes.
Experience:E-commerceRecommendation systemsMachine learningML ops
Skills:CollaborationCommunicationData quality focus
Tech Stack:PySparkAWSSageMakerCloudFormationApache AirflowPythonPyTorchDatabricksKubernetesFeature stores

Company Brief

Zalando
Zalando operates a leading European online marketplace for fashion and lifestyle products, offering clothing, shoes and accessories from international brands and local labels, plus logistics and marketing services to partner brands and retailers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2008
WebsiteLinkedIn