4 days ago
Berlin, GermanySenior
Responsibilities
- Research, implement, deploy, and scale machine learning techniques for logistics problems.
- Develop solutions for supply-and-demand challenges, ETA prediction, pricing, and logistics optimization.
- Build and launch data science applications that support front-facing product solutions.
- Create tools, data pipelines, and evaluation frameworks for developing and deploying ML solutions.
- Collaborate with multifunctional teams and promote engineering and data science best practices.
Requirements
- Strong experience in machine learning and real-time data streaming technologies for forecasting or logistics products.
- Strong Python coding and software engineering skills.
- Ability to productize and deploy solutions using cloud services such as Amazon Web Services or Google Cloud Platform.
- Experience with microservices, event-driven architecture, serverless computing, and cloud architecture patterns.
- Production Kubernetes experience is expected.
- Experience with real-time production systems at scale is desirable.
- Airflow, MLflow, Docker, and Flink experience is a plus.
Benefits
- Full-time hybrid role with three days per week in the London office and two days working from home.
- International, collaborative, inclusive, and supportive company culture.
Tech Stack
Categories
About Just Eat
Just Eat Takeaway.com builds an online food-delivery and convenience marketplace that connects consumers with restaurants, grocery, and retail partners, supported by courier logistics and merchant tools. It earns primarily through commissions and delivery fees on orders placed via its apps and website. Headquartered in Amsterdam, the company was formed by the 2020 merger of Just Eat and Takeaway.com and is publicly listed on the London and Amsterdam stock exchanges.