4 data manager jobs found

Applications should be submitted exclusively online (via our application portal) with the usual documents – quoting the reference number – by December 17, 2025. Contact person for content-related questions: Prof. Dr.-Ing. habil. Björn Hein, Tel.: +49 721 9251942. Karlsruhe University of Applied Sciences - Technology and Economics, Human Resources Department, P.O. Box 24 40, 76012 Karlsruhe, Germany. Telephone: +49 721 9252391. Applicant management: Ms. Sarah Flügel, Telephone: +49 721 925-1051. Karlsruhe University of Applied Sciences is committed to increasing the proportion of female employees; qualified women are expressly encouraged to apply. Applicants with disabilities will be given preference if equally qualified. For further information, please contact the university's representative for employees with disabilities by email (sbv@h-ka.de). The Institute for Robotics and Autonomous Systems (IRAS) is seeking to fill the following temporary position to strengthen our team...

Your mission Design and maintain scalable pipelines to ingest and organize large volumes of time-series camera and sensor data (RGB, IR, acoustic, depth, IMU, and other modalities). Own and improve datasets for object detection and classification tasks, ensuring statistical robustness, diversity, and representativeness. Build and operate active learning loops to select high-value samples, reduce annotation cost, and continuously improve model performance. Write robust preprocessing pipelines using Python, NumPy, Pandas, and augmentation libraries like Albumentations. Manage labeling workflows, including QA rules, label consistency checks, vendor coordination, and dataset versioning. Collaborate with ML Engineers to fine-tune, train, and evaluate object detection models and feed insights back into the data pipeline. Analyze model weaknesses, uncover blind spots, and drive dataset improvements through statistical diagnostics and drift/bias detection. Create...

Overview As an AI & Full Stack Engineer (AI Engineering / Automation Engineering / System Architecture / Full-Stack Engineering with a focus on AI), you will work with us to develop an AI-first system that powers our entire organization like an operating system. This system consists of: the  frontend  (AI-assisted, developed with Claude Code) where our PR managers work daily the  management dashboard  with planning, capacities and performance the  customer interface  , which displays results, data and AI-generated reports an  agentic and workflow-based backend  that intelligently connects systems (Supabase, vector databases, API flows, agents, AI models) Your role System Architecture & Ownership Full responsibility for the technical system (frontend & backend) Ownership of the system architecture and further development, including workflows, data structure, interfaces, compliance...

  These are the tasks you will be responsible for: Planning, building and operation of cloud-native platforms as well as deployment of microservices and containerized applications Development and optimization of CI/CD pipelines for the automated deployment of platform components Implementation of Infrastructure as Code and GitOps approaches (e.g., GitLab CI, Terraform, Crossplane, Ansible, ArgoCD) Conceptualization and execution of container builds (Docker, Buildah, Maven Jib) as well as management of artifacts (Nexus, Harbor) Monitoring, logging and alerting using Prometheus, Grafana, Instana Operation and optimization of highly available applications (PHP, Java, Node.js) Scaling and resource optimization in Kubernetes environments Implementation of application deployments via Helm charts, Kustomize or Kubernetes operators Model-based documentation of technical systems, CI/CD workflows, GitOps processes and service topologies...