Data science állás, munka

INTERNSHIP IN MACHINE LEARNING (M/F) –%Implementing & Evaluating new ML Models for Sheet Metal Forming In this internship, you will have the opportunity to review, implement, and evaluate the latest machine learningmodels in the realm of process engineering and manufacturing. The nature of this...

• Creating products that make a real difference in the lives of patients and doctors
• Developing Acoustic and Language models based on our own state-of-the-art recognition
• Processing our enormous amounts of data for training and speaker adaptation

Agentic AI (incl. RAG, Retrieval Augmented Generation) applications implementation: Design, implement and maintain Agentic AI applications to support various areas of Octapharma's core business (such as Manufacturing Science and Technologies, Research & Development, Sales)...

In 18-24 months, you will go through various stations in Germany and abroad, taking on responsible tasks in the areas of application, software services, software and function development (requirements engineering, function development, validation and verification, virtualization, big data, and...

• Data acquisition and preparation
• Evaluation and analysis of data
• Collaboration in the development of methods for data analysis and evaluation
• Algorithm development
• Tasks in the field of software development and databases

• Work on potential AI and/or digital twin features for future medical devices
• Design solutions for computer vision problems towards advanced biomedical visualisations
• Evaluate and refine your approach on real-world data

• Develop and maintain a proprietary trading system within a high-performance crypto finance environment.
• Implement technical specifications end-to-end, covering both backend Python components and frontend interfaces.

• Servant leader for java development, especially for health data management platforms
• Refine technical specifications & dependencies with architects and align with connected products
• Highlight and address technical dept and focus on continuous improvement