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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. As a Machine Learning Engineer, you will be part of the Data Science team inside the Product and Tech group. You will 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) is expected for senior level, but would be a non-mandatory plus for mid level

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
Mid-level

About the Company

We’re a leading global online delivery platform, and our vision is to empower everyday convenience.
Our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
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.
With over 60 million active users across 24 countries, here at Just Eat Takeaway.com we’re a global food tech company, connecting our customers from Amsterdam to Auckland with the food they love.

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.