scikit-learn Jobs in Austria

In this role, you will develop innovative AI solutions, identify data-driven use cases, and implement them from prototype to scaling, creating sustainable business value for clients.

In this role, you will develop practical AI and GenAI solutions, managing the entire lifecycle of systems while advising international clients and collaborating with agile teams.

In this role, you develop AI and machine learning solutions, optimize existing models, and integrate them into software applications while closely collaborating with different departments.

In this role, you will develop AI and Machine Learning solutions to tackle complex challenges and integrate them into digital platforms, telematics systems, and products. You will closely collaborate with internal and external partners.

In this role, you will develop AI/ML-driven software components for production optimization, train machine learning models, and implement databases for analysis and decision support.

In this role, you develop innovative Data Science solutions, analyze data, and leverage generative and agent-based AI to design and successfully implement value-driven applications for clients.

In this role, you will develop powerful machine learning systems for processing and reconciling financial data, transforming prototypes into production-ready solutions, and operating them in a robust, scalable environment.

In this role, you develop innovative AI solutions, design scalable systems, and advise international clients on custom applications of AI and GenAI technologies while orchestrating MLOps and LLMOps.

In this role, you will develop AI-based prototypes and interactive dashboards, closely collaborate with UX designers and data scientists, and integrate ML models into user-friendly frontends.

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.

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....