Machine learning software engineer állások Németországban főiskolai végzettséggel

• Have end-to-end responsibility, from data exploration to applying state-of-the-art machine learning techniques and building production-ready applications.
• Your work will directly enable innovative solutions in financial crime prevention and credit risk assessment.

• You will support on extracting, loading and processing (cleaning and transforming) complex data across different industries
• You will use your technical expertise to develop, test and deploy ML models based

• A dynamic and interdisciplinary research environment
• Hands-on experience with EEG and fNIRS data acquisition and lab equipment
• Exposure to state-of-the-art methods in neural signal processing and data curation

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...

Product vision: Drive the vision of your products and understand how it is embedded in the overall product and corporate strategy, with particular focus on identifying opportunities that can transform user experiences and create competitive advantages. ...

• Flexible starting date all year round and a permanent employment contract
• Individual program length and design your program in agile product areas, corporate start-ups or classic line organizations with a wide range of workshops and trainings

With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally. We are seeking passionate and talented students...

Develop a content-aware data compression method for Distributed Acoustic Sensing (DAS) data that dynamically adapts to the characteristics of the signal to maximize data reduction while preserving essential information required for downstream machine learning (ML) tasks....

Support enhancement of PD models, while ensuring compliance with different regulatory requirements (UK, EU) and internal standards....

• Assess processes to identify improvement and automation opportunities.
• Collaborate with stakeholders and cross-functional teams to define actionable solutions.
• Define the needs for application and data landscape to enable automation and AI integration.

• ongoing information on developments, discussions, and trends regarding the use of AI in research
• ongoing information on current and developing legal or compliance requirements
• ongoing development of the (AI) software portfolio provided to research and administration at the GIGA

• Collaborate on developing and implementation of post-hoc explainable AI models for computer vision models
• Exploring and benchmarking of XAI algorithms for vision language models
• Investigate potential of large language models for concept based XAI