Machine learning állások, munkák Németországban

Taking responsibility: Platform Engineering & Governance: Design, implement, and maintain core Microsoft 365 services (Exchange Online, SharePoint, Teams, OneDrive); define and enforce governance policies that balance user productivity with enterprise control. Security & Identity...

• 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

• Provide direct line management for >10 CP Delivery Managers embedded across drug programs and AI/ML model development initiatives
• Build delivery capability through coaching, role clarity, performance management, and career development

• Lead & support end-to-end Director+ searches across functions and markets, from briefing to offer.
• Build structured search strategies and talent maps that generate strong, diverse leadership pipelines.
• Assess candidates rigorously and deliver clear, evidence-based hiring recommendations.

• You independently assess and underwrite complex biometric risks, with a strong focus on medical and financial risks as well as special risks (occupation, sport, travel).
• You build and maintain strong client relationships and work closely with international offices and subsidiaries.

• Leading engineering projects incl. team lead for vehicle power net testing & vehicle diagnostic
• Plan, execute, document, publish & present status & results to internal & external customers
• Use tools like CANalyzer, CANoe, and data loggers to collect and analyze system data

Advising, as part of an international team of lawyers based in Germany and the US, on a broad range of legal topics with a focus on consumer protection, competition law, AI regulation, and online safety....

• 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

• Help Shopify run its planet scale systems by enabling our engineering teams to create resilient systems.
• Build and improve tools to keep our platform resilient and performant.
• Ensure we never fail for the same reason twice.
• Go on-call and respond to automated alerts and execute playbooks.

• 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