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About the Role
We are looking for senior machine learning engineers with a passion for using machine learning to create intelligent applications. You will join the Data Science team within the Product and Tech group and collaboratively design, build, and productionize machine learning systems. As a member of the logistics data science team, you will develop solutions to supply and demand challenges while optimizing logistics algorithms to ensure a reliable, efficient, and profitable service.
Responsibilities
- Researching, implementing, and deploying innovative ML techniques applicable to logistics problems.
- Scaling and transferring novel machine learning solutions to improve decision making processes and solutions in their different product use cases.
- Implementing and launching Data Science applications that coordinate with front facing solutions; constant improvements using performant and efficient ML models.
- Implementing tools, data pipelines, and evaluation frameworks to enable development, iteration, and launch of ML ideas within the product scope.
Requirements
- Strong experience in Machine Learning, developing real time data streaming technologies for forecast or logistics products.
- Strong coding and software engineering skills in Python.
- Able to work independently and solve complex problems, with a demonstrated ability to productise and deploy using cloud services (eg. Amazon Web Services, Google Cloud Platform).
- Strong background in working with microservices and event-driven architecture, serverless computing, and cloud architecture patterns.
- Familiarity with tools and packages including Kubernetes (deployment in production) is expected.
- Experience collaborating closely with multi-functional teams, driving forward best practices.
- Real-time production systems at scale (millions of requests/transactions per day) experience.
Skills
- Machine Learning
- Python
- Amazon Web Services
- Google Cloud Platform
- Microservices
- Event-driven architecture
- Serverless computing
- Cloud architecture patterns
- Kubernetes
- Airflow
- Mlflow
- Docker
- Flink
Location
- Berlin
Work Type
- Hybrid
Experience Level
- Senior
About the Company
- We’re a leading global online delivery platform, and our vision is to empower everyday convenience.
- Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
- Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.
Equal Opportunity
- No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.