Machine Learning Data Scientist Jobs in Austria

In this role, you will research innovative machine learning solutions for extreme cases, challenge fundamental assumptions, develop neural networks, and write scientific papers on your findings.

In this role, you will develop software for machine applications, overseeing requirements analysis, architectural design, and prototypical implementation while promoting knowledge transfer in cross-functional projects.

In this role, you will develop AI and ML models, implement solutions into production environments, and work on the analysis and design of AI solutions to extract valuable business insights and support generative AI solutions.

In this role, you will coach a team of Machine Learning Engineers and Research Scientists, develop evaluation systems, and deploy innovative ML models into scalable production systems to enhance user experiences.

In this role, you will develop ML solutions on Databricks using Python and MLflow, integrate models into data pipelines, implement end-to-end MLOps, and ensure quality and efficiency of production ML applications.

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 AI/ML algorithms for image processing and data analysis in life sciences, program in Python, and work on integration into products.

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.