9 jobs found in Nuremberg

Product Owner for Machine Learning in Image Processing (m/f/d) Job Requisition ID: 631 Location: Oberkochen, DE, 73447 Company: HENSOLDT Optronics GmbH About the area For the "Data Analysis and Fusion" department, we are looking for a "Product Owner for Machine Learning in Image Processing (m/f/d)" to join our branch office in Aalen as soon as possible. To ensure the best possible protection for people and equipment, current development trends are moving towards continuously increasing the number and type of sensors to capture as much information as possible. Since human ability to interpret this data is not increasing at the same rate, intelligent algorithms are needed to analyze and correlate this sensor data. This creates a comprehensive overview of the situation, relieving the operator of some of the burden while simultaneously providing optimal protection. Your role as Product Owner will...

We offer you: Innovative projects with room for your ideas and individual development opportunities Flexibility through remote work and flexible working hours A culture of appreciation with flat hierarchies and direct communication Further training opportunities and certifications in our Academy Attractive benefits such as team events, modern equipment and a balanced work-life balance Work-life balance Your tasks: Development and optimization of ML and deep learning models Building and maintaining MLOps pipelines (training, deployment, monitoring) Collaboration with data scientists and software developers Use of cloud technologies (AWS, Azure, GCP) for scalable solutions Performance tuning and monitoring of models during operation Your profile: Completed studies in computer science, data science, or a related field. Excellent knowledge of Python and common ML frameworks (TensorFlow, PyTorch, Scikit-learn)...

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...

Are you passionate about leading teams and delivering top-notch IT solutions for clients? As a leader with strong communication skills and a vision for a high-performance team, you will actively shape the future of our Atlassian and cloud projects as a Consulting Team Lead (m/f/d) at XALT. XALT Business Consulting GmbH is an Atlassian Platinum Solution Partner with 100% DevSecOps DNA and implements projects in areas such as ITSM, social intranets, cloud infrastructure, and identity management Team Leadership & Delivery: Professional and organizational management of the consulting team – planning the deployment of consultants in Atlassian and DevOps projects and ensuring timely, high-quality results as well as satisfied customers. Methodology & Processes: Definition and optimization of our consulting processes and best practices within the team, as well as the establishment of appropriate methods and continuous improvements. Customer escalations: Direct...

  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...