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Senior ML Ops Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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ZAZalando
Senior Machine Learning Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Scalability and efficiency improvements for ML platforms, building Feature Store infrastructure for an online shopping club. 5+ years in Spark, MLOps, Data Engineering, AWS, Airflow, Python required. Employee shares program, 40% Zalando product discount, 2 paid volunteering days.
Requirements
- 5+ years experience in Spark, ML Ops, Data Engineering, AWS, Apache Airflow, Python
- Experience productionizing ML models and orchestrating ML workflows
- Experience with Databricks for scalable data processing and ML model training
- Strong collaboration and communication skills
- Bonus: Experience with feature stores and feature engineering pipelines
Tasks
- Enhance the MLOps platform's scalability and efficiency
- Develop and maintain Feature Store infrastructure
- Manage Airflow pipelines and Databricks jobs
- Build observability systems and telemetry pipelines
- Design foundational components for data access
- Create systems for model training and deployment
- Develop automated model versioning and monitoring tools
- Architect modular systems for cross-team ML development
- Implement core abstractions and standardized APIs
- Establish engineering frameworks and best practices
- Collaborate with infrastructure and security teams
- Ensure ML systems are secure and production-grade
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Spark
- AWS
- Apache Airflow
- Python
- Databricks
Benefits
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% Zalando product discount
- 30% Zalando Lounge discount
- External partner discounts
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Work from abroad
More Vacation Days
- 27 days of vacation
Other Benefits
- Relocation assistance
Family Support
- Family counseling and support
Healthcare & Fitness
- Health and wellbeing options
- Gympass
Mental Health Support
- Mental health support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando 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
Senior Machine Learning Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Scalability and efficiency improvements for ML platforms, building Feature Store infrastructure for an online shopping club. 5+ years in Spark, MLOps, Data Engineering, AWS, Airflow, Python required. Employee shares program, 40% Zalando product discount, 2 paid volunteering days.
Requirements
- 5+ years experience in Spark, ML Ops, Data Engineering, AWS, Apache Airflow, Python
- Experience productionizing ML models and orchestrating ML workflows
- Experience with Databricks for scalable data processing and ML model training
- Strong collaboration and communication skills
- Bonus: Experience with feature stores and feature engineering pipelines
Tasks
- Enhance the MLOps platform's scalability and efficiency
- Develop and maintain Feature Store infrastructure
- Manage Airflow pipelines and Databricks jobs
- Build observability systems and telemetry pipelines
- Design foundational components for data access
- Create systems for model training and deployment
- Develop automated model versioning and monitoring tools
- Architect modular systems for cross-team ML development
- Implement core abstractions and standardized APIs
- Establish engineering frameworks and best practices
- Collaborate with infrastructure and security teams
- Ensure ML systems are secure and production-grade
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Spark
- AWS
- Apache Airflow
- Python
- Databricks
Benefits
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% Zalando product discount
- 30% Zalando Lounge discount
- External partner discounts
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Work from abroad
More Vacation Days
- 27 days of vacation
Other Benefits
- Relocation assistance
Family Support
- Family counseling and support
Healthcare & Fitness
- Health and wellbeing options
- Gympass
Mental Health Support
- Mental health support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando 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
Industry
Retail
Description
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
Not a perfect match?
- GetYourGuide
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