Machine learning állások Németországban (it programozás, fejlesztés)

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation....

Analyze product sensory and related consumer data utilizing advanced statistic tools to report CAT (consumer affective tests) and QDA (quantitative descriptive analysis) projects. Create product intelligence related to consumer needs beyond regular sensory, gathering and analyzing consumer-centric...

• Model Research: Conduct research on possible AI models for our use case
• Data Preparation: Assist in curating and preparing datasets of from our database of known errors
• Model Training: Training and fine-tuning the AI agent, ensuring it learns how to accurately detect errors and suggest fixes

Development, structuring, and documentation of (Gen)AI use cases with relevance for organization-wide business processes with Data Scientists and Product Owners...

Leadership and Accountability: Take disciplinary, organi­zational, and budgetary responsi­bility for the software develop­ment of our teams within the Agile Release Train (ART) Under­writing, focusing on under­writing appli­cations within HDI Global...

• Developing parallel and distributed algorithms for processing ultra-large 3D images across multiple GPUs
• Designing and adapting scalable deep learning models for segmentation and landmark detection (e.g. U-Net variants, Transformers)

• Design scalable and secure cloud solutions on Azure to support data collection and processing
• Understand business and application needs to identify key architectural drivers
• Develop comprehensive solutions considering organizational constraints

• Partner with sales teams to identify customer needs and propose complete tailored HPC and AI solutions.
• Establish a trusted technical relationship with the customers and partners to position Fsas capabilities and ensure that its added value is properly communicated.

• Partner with sales teams to identify customer needs and propose tailored HPC and AI networking solutions.
• Establish a trusted technical relationship with the customers and partners to position Fsas capabilities and ensure that its added value is properly communicated.

• Partner with sales teams to identify customer needs and propose tailored HPC and AI storage solutions.
• Establish a trusted technical relationship with the customers and partners to position Fsas capabilities and ensure that its added value is properly communicated.

In this position, you will be responsible for conducting exploration of cutting-edge AI technologies (LLMs, RL, multi-agent AI, autonomy, generative AI, etc.), designing and building rapid prototypes, proof-of-concepts, and demonstrators, as well as evaluating technical feasibility, system impact,...

• Drive and implement SEO strategies and ongoing optimization for selected parts of our website
• Develop product plans and roadmaps in close collaboration with Senior Management and in alignment with our business goals and execute them with your team

• Designing the overall system architecture for complex research platforms
• Conceptualizing data submission workflows for sensitive medical imaging data
• Defining architectural concepts for benchmarking and evaluation platforms, including secure execution of submitted models

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a Master's thesis following your internship

• Develop and adapt bioinformatics approaches for the analysis of human genomic and epigenomic data sets
• Design and implement analysis workflows for the analysis of long-read whole-genome sequencing and targeted short-read sequencing (hybridization capture, MeDIP-seq) data

• Align customer needs and vision with SAP BTP solutions early in the sales cycle
• Showcasing SAP solutions addressing customers' specific business requirements
• Mapping product capabilities to business requirements
• Responding to inquiries from customers within set deadlines, focusing on customer success