NumPy Jobs in Austria

In this role, you will develop agentic AI systems, optimize LLMs and generative architectures, and implement prompt engineering workflows for integration into customer-facing products.

In this role, you will build robust data pipelines, integrate relevant data sources, and optimize algorithms to create data-driven solutions within an interdisciplinary team.

In this role, you develop software solutions for credit risk and carbon footprint calculation, analyze requirements, create technical specifications, and support the entire product lifecycle.

In this role, you will develop scalable data solutions and robust data pipelines, work on ML models for intralogistics, and optimize existing algorithms to ensure performance and stability.

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 will develop scalable AI solutions and ML pipelines, optimize models, and implement evaluation metrics. You'll closely collaborate with stakeholders and evaluate new technologies for innovative projects.

In this role, you will design advanced machine learning models with PyTorch v2, implement time-series analysis, and build scalable data pipelines while collaborating closely with domain experts.

In this role, you develop robust data pipelines, optimize algorithms, work with machine learning in production environments, and utilize data visualizations to assist stakeholders in making data-driven decisions.

In this role, you analyze tasks and create implementation proposals, develop digital hardware, and verify it using a structured testing approach, while closely collaborating with your mentor.

In this job, you assist with data preparation for AI software, optimize response quality through user feedback, and collaborate on the development of low-code applications within the team.

In this role, you implement data-driven solutions and conduct proof of concepts in AI and machine learning while closely collaborating with other data scientists and the client’s technical team.