3 data engineering jobs found in Gescher

Do you want to help shape modern data and AI infrastructures and make large datasets efficiently usable? As a Data Engineer, you will play a central role in building, integrating, and processing the data streams that drive our AI applications and models. You will work closely with our AI developers and the DevOps team, designing comprehensive data pipelines that connect the systems in our Kubernetes infrastructure. YOUR TASKS You develop and operate fault-tolerant data pipelines (ETL/ELT) that reliably collect, process and provide large amounts of data. You will integrate external data sources, interfaces and services into our AI stack and ensure smooth data flows between applications, models and infrastructure. You will support the setup and operation of MLOps pipelines, for example for model training, evaluation and deployment. You develop and maintain data models, data structures and storage concepts for SQL, NoSQL and object storage systems. You ensure that...

Do you want to put cutting-edge AI technologies into practice and create real added value? As a software developer for RAG systems and agentic applications, you'll work on developing intelligent assistance systems that use complex data to automate demanding tasks. You'll be involved in all phases of our AI projects – from conception to productive deployment in our Kubernetes infrastructure. YOUR TASKS You develop and implement RAG pipelines and retrieval systems to make optimal use of structured and unstructured data. You will design and implement agent-based AI applications that automate complex workflows and interact with internal and external systems. You will be fully involved in the planning, design, and implementation phases, integrating your solutions into our infrastructure – from the backend and APIs to interactive frontends. You will work closely with our DevOps and Data Engineering teams to develop robust, scalable, and high-performing AI systems. You...

Do you want to actively shape modern software and AI platforms and ensure that applications operate reliably, securely, and automatically? As a DevOps Engineer, you will be responsible for building, developing, and maintaining the stable operation of our Kubernetes-based infrastructure. You will work closely with our development and data teams and play a key role in shaping our automation and deployment processes. YOUR TASKS You will develop, operate and optimize our Kubernetes infrastructure, including Infrastructure-as-Code, deployment mechanisms and cluster management. You will implement and maintain CI/CD pipelines that ensure the automated build, test, and deployment process of our software and AI applications. You automate operational processes, scaling concepts, and recurring workflows to provide an efficient and robust platform. You will support the AI ​​team in the deployment, testing, and troubleshooting of their applications and models. You maintain...