Senior Machine Learning Engineer | Senior Machine Learning Engineer (All Genders)
Zalando SE
Job Summary
This Senior Machine Learning Engineer role focuses on enhancing Zalando's MLOps Platform, driving scalability, efficiency, and impact within the DARA ML & Data platform. Day-to-day responsibilities include designing, building, and maintaining foundational ML platform components for data access, feature management, and model training/deployment at scale. The engineer will develop infrastructure and tooling to enable automated experimentation, versioning, deployment, and monitoring of ML models, specifically working with the Feature Store, Airflow pipelines, and Databricks jobs. Key requirements include over five years of professional experience using Spark, AWS, Apache Airflow, and Python, coupled with proven expertise in productionizing ML models and orchestrating complex ML workflows. The ideal candidate will architect scalable, modular systems, implement core APIs for standardized ML execution, and establish engineering best practices in collaboration with cross-functional teams.
Required Skills
Education
Not specified
Experience
- 5+ years of experience in Spark, MLOps, Data Engineering, AWS, Apache Airflow, and Python
- Proven experience productionizing ML models and orchestrating ML workflows
- Experience with Databricks for scalable data processing and ML model training
- Experience with feature stores and feature engineering pipelines (Bonus)
Languages
Additional
- Not specified
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