Keras Jobs in Germany

In this position, you will develop, train, and validate medical AI networks, working closely with an interdisciplinary team on innovative image processing solutions for a research project.

In this role, you will configure and integrate embedded software for driver assistance systems and develop deep learning models based on vehicle sensor data to optimize ADAS functionalities.

In this role, you accompany multiple PoC projects, translate use cases into technical solutions, document cases, and analyze implementation patterns for SMEs and administrations while preparing training and workshops.

In this role, you develop innovative AI solutions for COMINT, train and evaluate neural networks, integrate software into existing products, and systematically document your processes.

You support clients with their data projects, analyze and visualize complex data, design machine learning models, and ensure data quality using appropriate tools and methods within a dynamic team.

In this role, you will configure embedded software for driver assistance systems, develop and optimize deep learning models on GPU clusters and in Azure Cloud for ADAS features.

In this role, you will develop machine learning models, implement Generative and Agentic AI solutions, and perform statistical analyses to derive valuable insights for optimizing an e-commerce platform.

In this role, you will develop machine learning models to address complex business problems, analyze large datasets, optimize solutions within interdisciplinary teams, and communicate findings to diverse stakeholders.

In this role, you will manage customer projects throughout the lifecycle, analyze and visualize data, develop machine learning models, and ensure data quality through effective preparation and manipulation.

In this role, you will develop AI-driven recommendation systems and lead time series analyses to predict and optimize business metrics, maximizing vendor success.

In this role, you support data projects from conception to implementation, analyzing and interpreting complex datasets while developing machine learning models to solve problems.

In this role, you develop data-driven solutions, implement ETL processes, create recommendation algorithms, and optimize machine learning models for client projects.

In this role, you analyze large datasets using Python and R, develop machine learning models for predictions, and create dashboards to support data-driven decisions across various business areas.

In this role, you will develop data infrastructures, manage ETL processes, and build data warehouses to implement complex data projects and solve critical customer problems.