TensorFlow Jobs in Vienna

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 will design data projects and develop machine learning in Python. You will work on challenging customer projects, optimizing models while collaborating closely with engineers.

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 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 state-of-the-art algorithms for 2D/3D image analysis, integrate them into existing software solutions, and work on innovative prototypes to address dermatological problems.

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

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 will develop machine learning models and create data pipelines to process large datasets. You will implement these models in software products and develop web applications to visualize the results.

You will develop and operate the ML platform for training and on-device deployment, build scalable data/training pipelines, and automate CI/CD, testing, quantization and packaging with Docker, Kubernetes and TensorFlow/PyTorch.

In this role you build and operate the ML platform for on-device models: implement scalable data and training pipelines, automate CI/CD, quantization and testing, and manage deployments, monitoring and optimization.

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...