Machine Learning Engineer

Join Allianz Direct!

The machine learning engineering chapter at Allianz Direct is a global team consisting of experienced machine learning engineers that have been pioneering new use cases and building a modern machine learning platform. The team is responsible for the development, deployment, and maintenance of machine learning models in all 5 countries where Allianz Direct is active. We are looking for a ML engineer to grow the team.

The work

You will get to :

• Work with experienced ML engineers and focus on building one or two machine learning solutions at a time, end to end.
• Dive into a range of challenging modelling problems around our pricing engine, customer contact center, claim processes and operations. You can expect to tackle problems using classification, regression, clustering, time series, anomaly detection, survival modelling and large language models.
• Collaborate with engineers to embed a productionized model into company processes.
• Help build our machine learning platform for development and deploying a range of models.
• Contribute to our continuously evolving way of working and internal packages.
• Work on a modern tech stack. We use Python, Databricks, AzureML, MLflow and have CPU and GPU clusters available for large training jobs.
• Work together with diverse international colleagues based in France, Germany, Italy, Netherlands and Spain

Your profile

About us

Allianz Direct is an Agile organization that builds the future of insurance by leveraging the newest industry trends and technologies. We challenge the status quo, we battle complexity and trade it for simplicity. With a pure digital business model we aim to be digitally unbeaten. Why? To become the best online insurer of Europe. We will achieve this by working data driven and creating excellent customer journeys. Together we get things done. With an open mind, a smart and flexible scale-up organization and by being customer obsessed, we help our clients enjoy all adventures of life.

You will get :