Zalando Payments GmbH
Principal Software Engineer - Risk Management / Risk AI(m/w/x)
Full-timeWith HomeofficeExperienced
Berlin
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ZAZalando Marketing Services GmbH
Principal Machine Learning Engineer - ZMS(m/w/x)
Berlin
Full-timeWith Home Office
AI/ML
Data Science
Nejo AI Summary
Architecting low-latency recommendation engines for e-commerce fashion. Python, Java Flink, and PyTorch expertise required. 27-30 days holiday, up to 60% remote.
Requirements
- 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
Tasks
- 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
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- 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
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando Marketing Services GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ZAZalando Marketing Services GmbH
Principal Machine Learning Engineer - ZMS(m/w/x)
Berlin
Full-timeWith Home Office
AI/ML
Data Science
Nejo AI Summary
Architecting low-latency recommendation engines for e-commerce fashion. Python, Java Flink, and PyTorch expertise required. 27-30 days holiday, up to 60% remote.
Requirements
- 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
Tasks
- 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
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- 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
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando Marketing Services GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Zalando Marketing Services GmbH
Industry
Marketing
Description
Zalando Marketing Services is a marketing unit for Zalando's brand partners, offering diverse products across multiple channels for advertising objectives.
Not a perfect match?
- Zalando Payments GmbH
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Full-timeRemoteSeniorBerlin - Zalando
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Full-time/Part-timeWith HomeofficeSeniorBerlin