Senior ML Engineer Transport Network and Planning all genders
Senior ML Engineer Transport Network and Planning all genders
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Job Description
THE ROLE AND THE TEAM
Zalando fulfills more than a hundred million customer orders every year and volumes are increasing. Transport within Zalando builds and operates systems that are at the core of Zalandos platform strategy and ensure timely efficient and correct delivery of every one of our customers 185 million orders and shipments every year.
Enabling the fulfillment of orders is a complex process involving the choice of physical locations of our warehouses to our Hubs: This is the backbone of logistics where movements occur. Efficient network routing and capacity planning optimise utilise (e.g. trucks linehauls) and reduce transit times directly impacting service levels and cost per unit transported. Notably the middle mile is closely steered by the requirements of the last mile meaning last mile delivery demands often dictate middle mile scheduling and consolidation decisions. This makes integrated planning between the two critical for transport network efficiency.
The last mile is often the most complex and expensive segment. Smart planning here including optimal route design and delivery slot management is crucial for meeting customer expectations on speed and reliability while keeping delivery costs manageable. Since the last mile drives the timing and structuring of middle mile operations its importance in the overall transport domain is amplified.
As a Senior Machine Learning Engineer you will be essential in defining and managing the next generation of our engineering infrastructure (e.g. data ETL pipelines train/inference deep learning model pipelines and many more). You will be part of a skilled team of data engineers and Ml engineers address complex transport network and planning challenges improve the optimisation of network and support many highlyimportant strategic and datadriven usecases such as network design simulation and optimisation dynamic slot and carrier recommendation simulation for disruption management. This role offers a unique chance to be at the forefront of Zalandos technological advancement enhancing your engineering expertise in a highimpact and dynamic environment.
INCLUSIVE BY DESIGN
At Zalando our vision is to be inclusive by design. And this vision starts with our hiring we do not discriminate on the basis of gender identity sexual orientation personal expression ethnicity religious belief or disability status. You are welcome to leave out your picture age or marital status from your application. We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need so we can best support you throughout the hiring process.
our diversity & inclusion strategy: employee resource groups: WED LOVE YOU TO DO (AND LOVE DOING) Work closely with software engineers and data engineers to deploy ML models to a production environment Design build and maintain ML models and its data pipelines Utilise a cloudbased tech stack including SageMaker Databricks and AirFlow Implement best practices in software engineering including code quality and testing for the Python codebases Ensure system stability and improve monitoring and resilience Mentor others drive innovation and foster a positive and inclusive work environment Be part of Zalandos engineering community and advocate teams processes You have extensive industry experience in designing developing and operating dataintensive ML systems. Experience working together with data engineers and familiar with traditional processes from ideation to productionisation. Knowledge of ML concepts such as training vs inference backtesting model monitoring etc. You are proficient in Python and with data processing and analysis tools like PySpark Pandas and Numpy and you have experience using deep learning frameworks such as PyTorch. You are familiar with CI/CD tools container/orchestration tools such as AWS (EKS ECS) Kubernetes Docker and other data processing and analysis tools like SageMaker Databricks and Airflow. You are eager to collaborate with engineers to test and productionize new ML approaches. Team player and highly selfmotivated with a strong sense of ownership and accountability Youre fluent in English and have excellent technical communication skills and can present complex technical information in a clear and concise manner. Zalando provides a range of benefits heres an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer. Employee shares program 40 off fashion and beauty products sold and shipped by Zalando 30 off Zalando Lounge discounts from external partners 2 paid volunteering days a year Hybrid working model with 60 (or more) remote per week actual practice is up to each team to best support their collaboration Work from abroad for up to 30 working days a year 27 days of vacation a year to start Relocation assistance available (subject to prior agreement) Family services including counseling and support Health and wellbeing options (including Gympass) Mental health support and coaching available Learn all about Zalando and our values here: Experience: Senior ICWED LOVE TO MEET YOU IF
OUR OFFER
Employment Type
Full-Time
Key Skills
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