TensorFlow Jobs in Austria

In this role, you design and develop industrial image processing solutions, explore algorithms in deep learning, collect and analyze datasets, and integrate systems at customer sites for testing and implementation.

In this role, you will design comprehensive AI solutions, develop reference architectures, and ensure seamless integration of AI services in hybrid cloud environments while considering trustworthy AI principles.

In this role, you develop AI services, operate and improve MLOps stacks, implement documentation and SLAs, support partner projects, and organize workshops to increase the usage of AI services.

In this role, you will develop AI-based anomaly detection for mobile work machines, implement models, and evaluate sensors for monitoring vibrations and sounds in real-world applications.

In this role, you will build ETL/ELT processes, optimize data pipelines, and implement LLM frameworks while closely collaborating with other teams to integrate AI services into production.

In this role, you will develop data-driven AI solutions and analysis models to identify improvement and value enhancement potentials for clients, engage closely with stakeholders, and implement viable applications.

In this role, you develop innovative AI solutions, analyze data to identify value creation potentials, and work closely with clients to successfully implement data-driven use cases in practice.

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 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 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 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.