Dein persönlicher KI-Karriere-Agent
Principal Machine Learning Engineer - ZMS(m/w/x)
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
- Englisch – fließend
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
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- Zalando Payments GmbHVollzeitmit HomeofficeBerufserfahrenBerlin
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Principal Machine Learning Engineer - ZMS(m/w/x)
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
- Englisch – fließend
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
Über das Unternehmen
Zalando Marketing Services GmbH
Branche
Marketing
Beschreibung
Zalando Marketing Services is a marketing unit for Zalando's brand partners, offering diverse products across multiple channels for advertising objectives.
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