MLflow Jobs in Germany

In this role, you will develop powerful algorithms for personalized shopping experiences and deploy them into production, driving innovative solutions in a dynamic team environment.

In this role, you analyze customer data, develop and validate machine learning models, and manage data pipelines to implement complex applications and transition them into production-ready services.

In this role, you will build ML-based software systems, work with diverse datasets, and optimize the MLOps platform to efficiently productionize AI applications.

In this role, you will develop scalable data pipelines and prepare structured and unstructured data for (Gen-)AI solutions, including MLOps execution and collaboration within agile teams.

In this role, you will develop Machine Learning and (Gen-)AI solutions, translate business requirements into technical strategies, and optimize systems while working closely with interdisciplinary teams.

In this role, you will build a modern platform on Databricks, implement robust APIs, manage CI/CD pipelines, and deploy containerized applications in cloud-native environments, primarily Azure.

In this role, you will develop data-driven and AI-powered backends and APIs for internal applications and optimize our AI evaluation framework using modern technologies like Python, FastAPI, and Azure OpenAI.

In this role, you will develop ML and AI solutions for automated driving, from data preparation and training to evaluation and deployment on cloud and edge platforms.

In this role, you will plan and execute software tests in the automotive sector, develop test concepts, perform manual and automated testing, and analyze test results and defects.

In this role, you monitor production systems, optimize ML and LLM infrastructure, and develop advanced solutions for automation, security, and reliability of platforms in a global environment.

In this role, you will develop powerful machine learning models for optimizing logistics processes, build robust infrastructure for data feeds, and collaborate closely with data scientists to create real-time solutions.

In this role, you will develop forecasting models for energy prices in Python, deploy them on Azure, and present your analytical results to traders and management using modern BI tools.

In this role, you develop innovative machine learning models for medical applications, integrate them into software, monitor model quality, and analyze relevant data for feature engineering.

In this role, you implement cutting-edge ML algorithms for game personalization, conduct A/B testing, develop prototypes, and optimize player experiences based on data analysis.

In this position, you design complex AI/ML architectures on Azure, lead technical projects, optimize MLOps strategies, and provide AI governance advice within an interdisciplinary team.