PyTorch Jobs in Austria

In this role, you will develop infrastructure for AI applications, including Kubernetes deployments, automated ML workflows, and optimization of large-scale models; collaborating closely with Data Scientists and implementing monitoring solutions.

In this role, you identify challenges, develop and optimize solutions using cutting-edge algorithms, implement them in agile projects, and closely engage with the technical team and management.

In this role, you define and lead data strategy initiatives, develop complex models, and translate data analysis into business strategies while automating and improving data pipelines.

In this role, you will develop advanced ML models to optimize battery and renewable energy forecasts, oversee the entire model lifecycle, and support commercialization across various markets.

In this role, you will develop advanced ML models, optimize datasets, and manage the entire ML lifecycle from training to deployment using Python, PyTorch, and Docker, while collaborating closely with other teams.

In this role, you will develop advanced ML and deep learning models, manage the entire ML lifecycle, and implement MLOps practices to ensure reliable, scalable AI solutions.

In this position, you will closely collaborate with product and engineering teams to develop data-driven solutions, analyze large text datasets, and design AI architectures while optimizing model performance.

In this role, you design end-to-end AI solutions focusing on architecture, model development, and MLOps. You integrate AI services into hybrid cloud environments while ensuring scalability and trustworthy system design.

In this role, you will develop strategic AI services and implement MLOps processes while supporting partner projects and conducting training to enhance AI application usage.

In this role, you will develop AI pipelines in Microsoft Azure, automate business processes using Machine Learning, and integrate data processing solutions with Python, as well as backend components using Django and Node.js.

In this role, you will oversee the AI & Forensic Lab, plan the AI infrastructure, install software, and support students in AI projects and workshops, while also engaging in interdisciplinary tasks.

In this role, you will develop scalable AI and data solutions, integrate innovative applications into existing systems, and design modern data architectures for data-driven transformations.

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

You design AI workflows and integrate ML models into systems, optimize existing pipelines, and evaluate new technologies while closely collaborating with the backend team.