Machine Learning Data Scientist Job in Austria

In this role, you acquire research projects in Advanced Machine Learning, lead them, publish scientific papers, and supervise students in their thesis work.

In this role, you will develop robust data pipelines using PySpark and SQL on Databricks, integrate GenAI capabilities, and take ownership of the architecture of data solutions.

In this role, you will develop innovative machine learning solutions, optimize models, and implement software for sensing and physics-based simulations on embedded platforms like Raspberry Pi and NVIDIA Jetson.

In this role, you will coordinate cross-platform projects in the Machine Learning space, mentor a team of engineers, and develop strategies to foster an effective research environment.

In this position, you develop algorithms for position estimation, implement modern estimation techniques, and train machine learning models to enhance robustness and sensor fusion for automotive systems.

In this role, you will develop ML models for natural language processing and design powerful, scalable backend services using Java and Spring Boot for critical real-time applications.

In this role, you will develop innovative machine learning algorithms for humanoid and industrial robots, working on advanced perception and decision-making models in the field of robotics.

In this role, you manage an AIO project portfolio, integrating innovative AIO measures into existing SEO processes while conducting continuous LLM visibility analyses and deriving prioritized data optimizations.

In this role, you manage the development of machine learning platform solutions, coach a team of engineers, coordinate projects, and optimize the research process across the full ML lifecycle.

In this role, you will develop advanced machine learning methods for object and lane detection, integrate them into existing platforms, and conduct extensive testing of autonomous driving technologies.

In this role, you will develop highly scalable AI and ML solutions, train models, optimize systems, and implement cloud-based applications to enhance data-driven marketing strategies.

In this role, you will develop Machine Learning models and end-to-end pipelines to analyze data in the intralogistics field, closely collaborate with an interdisciplinary team, and explore AI solutions for international client projects.

In this role, you will support the entire life cycle of mechanical systems, from conceptualization to product development, including CAD modeling and test validation, while closely collaborating with suppliers to ensure manufacturability.

In a motivated and dynamic development team, you will take on a central role as a robotics expert and be responsible for the development and implementation of innovative assistance systems for crane systems in the forestry and recycling industry. Your...