MLflow Jobs in Germany

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.

In this role, you shape our data platform, develop data products for various business areas, and automate data pipelines on Azure Databricks while collaborating closely with the departments.

In this role, you will develop modern data products on the Azure Databricks platform, manage data pipelines, ensure data quality, and work closely with business departments.

In this role, you will develop modern data products and actively shape our data platform on Azure Databricks by creating data pipelines, ensuring quality, and closely collaborating with business departments.

In this role, you will design data processing pipelines, maintain existing data infrastructure, and collaborate closely with data scientists to optimize ML models and develop CI/CD pipelines.

In this role, you build the infrastructure for distributed training, deployment, and experimentation, utilizing technologies like Kubernetes and PyTorch to efficiently transition ML models into production.

In this role, you will develop scalable microservices using Java and Spring Boot, integrate external systems, and manage CI/CD pipelines for automating AI workflows in cloud environments.

In this position, you will enhance the workflow engine for ML workloads and design a cloud platform using Kubernetes while optimizing Python-based microservices and CI/CD pipelines.

In this role, you will develop scalable data pipelines and optimize data models for analytics and AI applications while collaborating closely with various functional areas.

In this role, you will lead and develop an engineering team that delivers runtime enforcement outcomes in a complex environment while planning and executing multi-team initiatives and technical projects.

In this role, you will develop advanced computer vision models for medical image analysis, monitor production models, and integrate ML pipelines into product workflows using modern tools and frameworks.

In this role, you will design solutions in the AI and Data Science field, develop MLOps processes, prepare data, and implement models for our client projects, focusing on Python, SQL, and modern technologies like Azure and AWS.

In this role, you will build robust ML systems and infrastructure to transform real-world data into trained 3D world models and create automated production endpoints while closely collaborating with the research team.

In this role, you will design and develop AI-based applications, train ML models, and implement robust data pipelines in the Databricks environment while collaborating closely with business units.

In this role, you develop a cloud-based Data and AI platform, automate the service lifecycle with Kubernetes operators, and implement REST APIs for managing these services.