Polars Jobs in Germany

In this role, you translate business questions into statistical problems, develop and integrate AI models, analyze large datasets, and communicate clear results to management and colleagues.

In this role, you will support Data Scientists in implementing PoCs and complex client projects in Data Science and Machine Learning, focusing on modern technologies such as LLMs and agents.

In this role, you will develop scalable data pipelines in SQL and Python, automate deployments with Infrastructure-as-Code, build CI/CD pipelines, and take responsibility for the end-to-end development of features in the web application.

In this role, you implement new modules in an existing DQ tool, process data using Polars, write complex SQL queries, and expand the test suite with pytest to ensure quality and stability.

In this role, you will develop data-driven solutions by analyzing IIoT sensor data and groundbreaking models, closely collaborate with the team, and deploy models into production.

In this role, you will design and develop innovative machine learning algorithms for personalized shopping experiences while analyzing large datasets, implementing, and optimizing solutions to ensure high performance and production model reliability.

In this role, you will develop innovative automation solutions, analyze complex data, implement ML solutions, and create strategies to optimize business processes in the SAP BTP environment.

In this role, you will develop innovative UI applications for capital markets and implement machine learning use cases in Python and SQL, while ensuring code quality through reviews.

In this role, you will develop innovative machine learning algorithms, identify data-driven value potentials for the insurance business, and lead interdisciplinary project teams to implement strategic concepts.

In this role, you will develop innovative UI applications, automate processes using Python and SQL, and implement machine learning solutions to support decision-making in capital markets.