Senior Machine Learning Engineer Demand Forecasting all genders
Senior Machine Learning Engineer Demand Forecasting all genders
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Job Description
THE ROLE & THE TEAM
Zalando fulfills more than a hundred million customer orders every year and volumes are increasing. Fulfillment Core 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 every year.
Enabling the fulfillment of orders is a complex process involving the choice of physical locations of our warehouses and the placement of stock the planning of inner warehouse processes and capacity management the management of a diverse range of fulfillment and delivery configurations all while optimizing towards various competing targets.
Demand forecast is at the heart of these processes where the forecasted demand of a given article would play an essential role to determine for example in which warehouse and where inside that warehouse the article should stay.
As a Senior Machine Learning Engineer you will play an essential role 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 ML engineers and applied scientists to address complex forecasting challenges improve the precision of demand predictions and support many highlyimportant strategic and datadriven usecases such as inventory optimization inside warehouses and across a network of warehouses. 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.
Youll find our Berlin campus and HQ in the vibrant area of Friedrichshain. With amazing views of the Spree river and East Side Gallery its a campus designed to inspire. Berlin is the city that has shaped our business. Are you up for a new experience in one of the most vibrant diverse and green cities in Europe
INCLUSIVE BY DESIGN
At Zalando our vision is to be the starting point for fashion one that is inclusive by design. We only assess candidates based on qualifications merit and business needs. We welcome applications from people of all gender identities sexual orientations personal expressions racial identities ethnicities religious beliefs and disability statuses. We only want to know why youre great for this role so please avoid including your picture age and marital status in your CV as well.
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need so we can best support and assist you throughout the hiring process.
our diversity & inclusion strategy: employee resource groups:
WHAT WED LOVE YOU TO DO (AND LOVE DOING)
Work closely with applied scientists to deploy ML models to a production environment
Design build and maintain ML models and its data pipelines
Utilize 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
WED LOVE TO MEET YOU IF
You have extensive industry experience in designing developing and operating dataintensive ML systems.
Experience working together with applied scientists and familiar with traditional applied science processes from ideation to productionisation. Basic 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 applied scientists 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.
OUR OFFER
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 up to 60 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
Drive your development through our training platform and biannual peertopeer review
Required Experience:
Senior IC
Employment Type
Full-Time
