Machine Learning Data Engineer Jobs in Hesse

In this role, you will develop AI-driven solutions, implement modern LLMs, and build robust Python applications that optimize internal processes and integrate with backend systems.

In this role, you will develop ML and AI solutions to enhance transaction monitoring and detect risks, work with Python and data pipelines, and document findings for internal knowledge sharing.

In this role, you will develop AI and ML models, optimize data pipelines for effective data management, and deploy these in cloud environments. You will also continuously test and improve existing models in a team setting.

In this role, you will define standards for mobile apps, oversee API integrations, and lead your team while ensuring security, scalability, and code quality to provide optimal user experiences.

In this role, you will develop machine learning models to optimize the software development lifecycle, integrate AI agents, and build robust data pipelines to enhance the overall efficiency of the development process.

In this role, you will develop complex data science products, train ML models, and automate MLOps pipelines to ensure stable deployments in credit analysis and payment optimization.

In this role, you will develop advanced data science solutions, train machine learning models, integrate them into production systems, and automate MLOps pipelines for stable deployments and optimizations.

In this role, you will develop data science solutions, integrate machine learning models into production systems, and build robust MLOps pipelines for automation and optimization.

In this role, you define and document standards for mobile apps, oversee API integrations, and ensure optimal user experience through close collaboration with development and CI/CD teams.

In this role, you will develop and automate a hybrid cloud-based data platform and manage Databricks environments for banks, including CI/CD processes and containerized services.