scikit-learn Jobs in Austria

In this role, you will develop complex algorithms for power plant optimization and create simulations for the cloud-based myplant Energy Management product, utilizing the latest technologies including Python and MLOps.

In this role, you will take end-to-end responsibility for designing and implementing AI solutions, working on ML, NLP, and generative AI projects, designing AI architectures, and developing production-ready models using modern tools.

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 will design practical training courses and materials on AI, Machine Learning, and Data Science, mentor learners, and evaluate new technologies for integration into training programs.

In this role, you will develop AI-based software solutions, implement data pipelines and machine learning workflows, and integrate algorithms into productive systems and edge computing environments.

In this role, you develop dashboards and applications using Python, prepare data, visualize KPIs, and implement solutions utilizing modern tools and libraries.

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 scalable ETL pipelines using Apache Spark and Flink, optimize data infrastructures, and create complex analyses and predictive models for our mobility solutions.

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 develop prototypes and maintain a cloud solution for data storage and processing. You'll collaborate closely with hardware engineers and optimize firmware on test benches and vehicles.

Development and implementation of machine learning models for business applications. Analysis of large amounts of data (structured and unstructured data) for pattern recognition and forecasting. Selection and implementation of suitable algorithms (e.g....