Senior Machine Learning Engineer - Transport Network and Planning | Senior Machine Learning Engineer - Transport Network and Planning (all genders)
Zalando SE
Job Summary
As a Senior Machine Learning Engineer, you will be instrumental in evolving Zalando's transport network and planning systems, which are critical for handling over 185 million orders annually. This role involves defining and managing next-generation engineering infrastructure, including data ETL pipelines and deep learning model pipelines. You'll work within a skilled team of data and ML engineers to tackle complex challenges like network design optimization, dynamic slot and carrier recommendations, and disruption management simulations. The position requires deploying ML models to production, designing and maintaining ML models and data pipelines using a cloud-based tech stack (SageMaker, Databricks, AirFlow), and implementing best practices in software engineering for Python codebases. This is a unique opportunity to enhance your engineering expertise in a high-impact, dynamic environment at the forefront of Zalando's technological advancements.
Required Skills
Education
Not specified
Experience
- At least 6 years of industry experience in designing, developing, and operating data-intensive Machine Learning systems
- Experience in developing and implementing statistical or predictive models
- Experience working with data engineers, familiar with traditional processes from ideation to productionization
Languages
Additional
- Relocation assistance available (subject to prior agreement)
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