PyTorch Jobs in Graz

In this role, you analyze machine data, develop data infrastructures, and implement machine learning models to optimize predictive maintenance and anomaly detection.

In this role, you will develop state-of-the-art vision models for geospatial analytics, implement new ML architectures, and support our no-code AI platform to enhance user interaction with models.

In this role, you train advanced vision models for geospatial analytics and implement innovative ML architectures, enabling users on the no-code AI platform to train their own models.

In this role, you will train state-of-the-art vision models for geospatial analytics and implement cutting-edge ML architectures while enhancing our user-friendly AI platform.

In this role, you will develop innovative machine learning solutions, optimize models, and implement software for sensing and physics-based simulations on embedded platforms like Raspberry Pi and NVIDIA Jetson.

In this role, you will develop hardware accelerators for AI systems based on RISC-V architecture, analyze their performance, and implement prototypes on FPGAs while collaborating closely with colleagues and partners.

In this role, you will develop innovative algorithms for anomaly detection, out-of-control action planning, and predictive maintenance strategies while contributing to scalable AI research and collaborating closely with partners.

In this role, you develop innovative image processing software using machine learning for intralogistics, design and test optical systems, and support pilot installations to optimize functionality.

In this role, you develop LLMs and agentic applications, implement AI solutions using modern frameworks, optimize ML pipelines, and integrate AI functions into production systems.

In this role, you develop customized AI solutions for clients, train models, conduct workshops, and analyze business processes to identify AI potential and automation opportunities.

In this role, you will develop advanced analytics and AI solutions for pharmaceutical R&D, design data pipelines, and lead interdisciplinary projects to solve challenges in a regulated environment.

In this role, you will develop a machine learning model to automate data preparation for CFD simulations. You will collaborate with engineers, conduct literature reviews, and create training datasets.

In this role, you analyze measurement data from high-precision instruments and develop AI-supported tools for pattern recognition. Your main task is to apply machine learning to identify anomalies and simulate expert evaluations.