Job Title: AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular-Long Term Assignment Percentage of Travel Required: Up to 10% Type of Travel: Outside Continental US * *
Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure
Über die RolleAls Senior Power Platform Engineer bei Avanade gestalten Sie die digitale Transformation unserer Kunden - von DAX-Konzernen bis hin zu globalen Marktführern. Sie übernehmen Verantwortung für anspruchsvolle Lösungen auf Basis der Microsoft Power Platform und arbeiten
Job Title: Linux Administrator Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular-Long Term Assignment Percentage of Travel Required: Up to 10% Type of Travel: Local * * *
Intelligence Center X is Siemens Digital Industries Softwares agentic enterprise system, empowering companies to embed agents alongside people with the context, intelligence, orchestration and governance they need to deliver AI-driven business impact. Siemens Digital Industries Software
Job Title: Network Automation Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular-Long Term Assignment Percentage of Travel Required: Up to 10% Type of Travel: Local * *
Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure
Location: Germany, Poland or Portugal Travel: 10-25% Meet the Team We are Ciscos Customer Experience (CX) team, and we are at the forefront of driving digital transformation! We focus on crafting personalized, and predictive experiences that