The Data and Analytics division (DAA1) is Munich Re s hub for data, analytics, and AI-driven innovation.
Dive into the world of Agentic AI and Generative AI, explore the potential of LLMs and turn your ideas into innovative AI solutions with us.
Entwickelt und implementiert Compiler-Passes und Optimierungen für ML-Workloads auf eigenen ASICs und baut Entwicklertooling für den ML-Compiler.
Key responsibilities in your new role - Application Development: Build and maintain Python based desktop tools for engineering - Tooling Inf
Key responsibilities in your new role - Lifelong learning: Acquire knowledge on plasma etching processing, AI-data readiness and development
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
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Forschung an Multi-Tier-Optical-Circuit-Switching-Netzen für KI-Rechenzentren: Modelle bauen, Traffic-Placement optimieren, Algorithmen simulieren und publizieren.
AI Solution Architecture: Du unterstützt uns bei der Konzeption von KI-Lösungen und technischen Architekturen und lernst, wie KI sinnvoll in
AI Engineer Intern AI Engineer Intern You can find all of our job offers by clicking.
Model quality evaluation: Measure how low-precision computation affects performance on coding and reasoning benchmarks.
You ll build the agent stack an AI consultancy runs on.
Identifiziert KI-Anwendungspotenziale, automatisiert Content-Prozesse und Entscheidungsgrundlagen für die Talentförderung im Fußball-Business.
1KOMMA5° Bei 1KOMMA5° bauen wir Europas führende Energie-Software-Plattform “Heartbeat” und schaffen so ein virtuelles Kraftwerk, das Photov
During your assignment, you will collect, structure and preprocess engineering knowledge sources such as technical documents, specifications
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Your way to Scalefree You want to deepen your already learned knowledge from university and apply it practically in projects?
Entwicklung eines Humanoiden-Roboter-Showcases: Gehen lernen, Aufgaben per Sprache entgegennehmen und mit generativer KI lösen.
Your way to Scalefree You want to deepen your already learned knowledge from university and apply it practically in projects?
Our mission We’re on a mission to create 10 million human firewalls!
If you are a member or alumni of a Formula Student team, this is exclusively for you - applying to this role ensures that the people you int
Who are we? Cohere is the leading security-first enterprise AI company.
As a PhD research intern in 3D computer vision, you will tackle open research problems in spatial perception and localisation, and explore h
Huawei Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic
Entwickelt Softwarekomponenten in C++ und entwickelt sowie evaluiert CV- und ML-Algorithmen für KI-gestützte robotische Chirurgie.
Internship Program Berlin Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office.
Electric drives are at the heart of modern mechatronics, and the industry is rapidly moving toward sensorless control to estimate rotor posi
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Master s studies (or final year of Bachelor s studies) with a strong academic record in a quantitative field like Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related discipline incl. business administration/economics with a quantitative focus Passion for AI and Data Science with a solid theoretical foundation and methodology Strong analytical and problem-solving skills and an interest in working with complex datasets Structured, reliable and independent approach to work Good communication and presentation skills; consulting or project management experience is a plus First experiences with putting AI and ML theory into practice, preferably in Python or R Additional experience in software tools for data visualization, data engineering, data science and AI is a plus (tools such as PowerBI) Highly motivated with a hands-on mentality 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
The Data and Analytics division (DAA1) is Munich Re s hub for data, analytics, and AI-driven innovation. DAA1 leverages big data and artificial intelligence to drive decision-making and enhance operational efficiency. Within our division, the Insurance Analytics Platform team focuses on enabling and driving implementation of data, analytics, and AI solutions that turn complex tabular insurance data into reliable, business-relevant insights for internal and external clients.
The team combines data engineering, data science, and analytics expertise to build scalable data products, analytical models, and reporting solutions that support data-driven decision-making across the business. Your Job Our department is looking for interns to support our highly motivated and ambitious team in driving the AI into the organization. Depending on your experience and preferences, various focus areas are possible Participate in end-to-end data science projects, including the communication with shareholders, exploration of datasets, development of reports, and application of statistical or machine-learning methods to derive meaningful insights for business stakeholders Implementation of use cases as part of our enablement support for business units - both traditional data science as well as generative AI Collaborate with colleagues from business, analytics, and IT functions in an interdisciplinary environment, to contribute new ideas and perspectives on emerging topics in data, analytics, and artificial intelligence
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