TensorFlow Jobs in Austria

In this role, you will develop powerful AI services, build ML pipelines, and implement MLOps solutions on HPC and hybrid cloud infrastructures while ensuring trustworthy AI practices and compliance.

In this role, you will develop powerful computer vision and deep learning algorithms for analyzing sports videos, including tracking, segmentation, and event detection, to create automated solutions.

In this role, you conduct comprehensive security assessments of AI models, develop incident response measures, and implement responsible AI frameworks to ensure security standards are met.

In this role, you will identify and analyze complex problems, develop and optimize machine learning algorithms, and automate workflows to implement solutions in production.

In this role, you will work on NLP projects by analyzing unstructured text data, developing and optimizing ML models, and clearly communicating insights while deploying solutions into production.

In this role, you will develop advanced ML and DL models, conduct data analyses, and implement MLOps practices to integrate AI models successfully into production environments.

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 will develop software solutions with cutting-edge Machine Learning technologies like ML .NET and TensorFlow, working on innovative .NET and Angular projects as part of a team.

In this role, you will design AI solutions in NLP and Generative AI, build robust data pipelines, perform model engineering, and implement cloud-based applications.

In this role, you will develop scalable data pipelines and ML workflows, work on ETL/ELT systems, and implement automation and model evaluation. You'll use Python and oversee projects for document processing and carbon estimation.

Development of AI/ML models. AI solution analysis, design and implementation. Deploy machine learning models and AI solutions into production environments. Propose adequate machine learning models to extract valuable insights. Support the development of...

Development and integration of LLM-based solutions based on OpenAI, Claude, Mistral, Llama or similar foundation models. Building and orchestrating multi-agent systems with tools such as LangChain, CrewAI, Autogen, Semantic Kernel, etc. Development of...