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 play a pivotal role in shaping Zalando's next-generation engineering infrastructure, focusing on transport network and planning challenges. You'll work within a skilled team of data and ML engineers to define, build, and maintain robust machine learning models and their data pipelines, from ETL to deep learning inference. This involves deploying models to production, ensuring system stability, and implementing best practices in software engineering, particularly for Python codebases. The role offers a unique opportunity to enhance your expertise in a high-impact, dynamic environment, contributing to strategic, data-driven use-cases like network design simulation, dynamic slot/carrier recommendation, and disruption management. You'll also be instrumental in mentoring others, fostering innovation, and advocating for team processes within Zalando's engineering community.
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 and familiarity with productionizing ML concepts (training vs. inference, backtesting, model monitoring)
Languages
Additional
- Relocation assistance available (subject to prior agreement)
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