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Senior Machine Learning Engineer - Location (f/m/d) at Delivery Hero SE (Berlin, Germany)
Posted: 386 days ago
This job post is more than 30 days old and probably filled.
Please consider visiting the company's website for the latest vacancies!
Want to be a hero? - Join the #1 Global Leader in online food ordering and delivery!
We are looking for a Senior Machine Learning Engineers (f/m/d) to join our growing Location tribe! We build solutions that can make it seamless to set your delivery location, find a nearby restaurant, a place to pick-up your groceries, and also enable our riders to deliver items to your doorstep fast and efficiently.
Our mission is to deliver location-based solutions, powered by data, for all our customers, globally. We aim to be THE global geospatial platform enabling amazing delivery experiences.
It starts with a pin on the map, each pin is an opportunity and a market that we explore to be able to serve our customers better. So, would you like to be part of a consumer facing platform that enables many Delivery Hero brands, including and not limited to FoodPanda, Foodora, Damejidlo and Netpincer to service millions of customers every day?
If you're a creative problem solver who is eager to deliver solutions and hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!
Your mission:
Building a solid engineering foundation within the Data Science team.
Creating and maintaining highly performant and scalable services to be used by millions of customers every day.
Developing tools to enable Data Science teams and enhance their productivity throughout the organization.
Scale up data science models to dozens of cities and maintain them from the engineering side.
Your heroic skills
Deep understanding of Python and its ecosystem, especially oriented to data science and Machine Learning.
Good testing practices with TDD or similar and knowledge on how to set up automated testing environments.
Wide experience working with Rest, frameworks (Flask, FastAPI, Falcon, etc.), micro services architecture and communication protocols.
Experience with Continuous Integration / Continuous Delivery
Being able to configure, run, tune and troubleshoot services on AWS.
Having passion about good code quality and maintainability.
Fluency in English.
Nice to have
Experience in at least one of these areas:
Spatiotemporal data
Logistics
Mapping services
Experience with Scala and/or Java
Experience with building data pipelines and orchestrating them with Apache Airflow
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