MLflow Jobs in Germany

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 independently develop data science use cases, build predictive models, deploy them to production, and continuously optimize their performance while collaborating closely with cross-functional teams.

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 lead a specialized team, develop an ML/AI Ops platform, and integrate AI models into existing systems using GCP and Kubernetes.

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.

In this role, you will design a scalable MLOps platform, transform research projects into robust software, and optimize the entire ML model lifecycle with CI/CD pipelines. You will support scientists in integrating and utilizing modern cloud solutions.

In this role, you will develop complex machine learning models and backtesting frameworks to analyze real-time esports data. You will enhance model performance and implement them into production-grade pipelines.

In this role, you will develop modern data products on our Azure Databricks platform, manage a data domain, and be responsible for integrating new data sources and modeling business logic.