Intern LLM Access and agent platform
We are the Big Data Analytics Platform.
We are the Big Data Analytics Platform.
Key responsibilities in your new role Join our team within the Automotive Microcontroller division and support data-driven innovation throug
AI Engineer - FDE (Forward Deployed Engineer) Req ID: CSQ427R334 We welcome remote applicants located near our offices.
Optimiert Low-Level-Kernel für LLM-Inferenz auf eigener Hardware, misst Performance auf Silizium und baut Profiling-Tools.
As an AI Software Engineer in our Data Science team, you will help design and deliver scalable backend and cloud systems that power our AI-d
Wir schreiben dir, sobald eine neue geprüfte Stelle in München dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Role highlights: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forwa
Agile Robots SE is an innovative company with a clear mission: bringing intelligent robotic solutions to our customers.
is based in Munich, Germany.
Enhance our ML/LLMOps and AI Agent infrastructure for model evaluation, testing, and deployment within an AWS environment.
ERGO NEXT is building its Finance organization to be AI-native — starting with reinventing how we forecast the business from the ground up.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Proficient in on programming language (despite Claude & Co. do the heavy lifting these days) Cloud native (we use Azure, any other cloud will do as well) Applied data science (basic idea of backpropagation) Students from countries outside the EU require a German residence-/work permit. The first master s degree may not have been completed before/during the entire internship.
As the world s leading reinsurance company with more than 16,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel.
Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation. Sounds like you?
Push boundaries with us and be part of Munich Re. Our employees are our greatest strength. That s why we offer them a wide range of benefits.
You can find some examples below. Unlock your potential Diversity, Equity & Inclusion: we embrace the power of differences and are convinced that diversity fosters innovation and resilience and enables us to act braver and better. Continuous Learning: we believe that continuous learning is a key differentiator and critical for building new skills and accelerating growth.
Career Mobility: we actively support career mobility, and our strong global and regional presence offers a wealth of career growth opportunities for you. Münchener Rückversicherungs-Gesellschaft Oksana Kern / Nina Hartmuth • Coordination Students Program Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunity employer. Severely disabled candidates will also be prioritised, if equally qualified.
We are the Big Data Analytics Platform. BDAP provides cloud based building blocks to the Group (including MunichRe reinsurance, MEAG asset management, ERGO primary insurance, and many more) enabling analytics, data science, GenAI access and agentic applications. Your Job Build and test platform capabilities together with a highly motivated team of skilled professionals (e.g. setting up alerting based on LogAnalytics logs) Implement proof of concepts to demo platform capabilities (e.g. document classification based on Jev-type model)
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige34 geprüfte Stellen bei 33 Arbeitgebern, 2 davon ortsunabhängig. KI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.