3 data warehouse jobs found in Munich

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...

About our company: Our client is an innovative technology company in Murnau am Staffelsee that develops modern software and AI solutions to make business processes more efficient, intelligent, and future-proof. With a strong focus on product quality, user-friendliness, and data-driven decisions, the company works to seamlessly integrate AI into existing systems, thereby creating sustainable added value for its customers. Your role: As an  AI Engineer (m/f/d)  , you work at the interface between software development and product management, playing a crucial role in the development, implementation, and optimization of modern AI solutions. You support the team in developing innovative machine learning models, integrating them into existing software products, and continuously improving them. Your tasks: Development and implementation of machine learning and AI models Collaboration with data scientists and product teams to analyze...

About our company: Our client is an innovative company that develops AI solutions and provides production-ready software with machine learning algorithms. The team works across disciplines on data-driven projects and contributes to process optimization through intelligent systems. Your role: As an AI Developer, you develop and integrate AI algorithms into production-ready software solutions. You implement ML workflows (supervised, unsupervised, and potentially reinforcement learning), validate models, optimize their performance, and work closely with DevOps and development teams. Your tasks: Development and integration of AI algorithms into production-ready software solutions Analysis and processing of structured and unstructured data Implementation of machine learning workflows Participation in model validation, testing and deployment Optimization of models with regard to performance, robustness and scalability Documentation and communication of...