Job purpose/role Allianz Investment Management (AIM) is the internal investment manager of the Allianz Group.
We are hiring Senior Data Scientists across multiple teams at Constructor.
We are seeking a Senior Data Scientist (f/m/x) to join our team of innovators.
Sie sind die technische Brücke zwischen Forschung, IT und KI-Technologie.
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.
Use AI as part of the day-to-day data science workflow and identify opportunities to develop reusable AI-enabled tools, skills, or agents th
If you re excited by the idea of building technologies that go beyond today s AI accelerators and helping define the future of computing, we
MS or PhD in computer vision, machine learning, computer science, or a related field, or equivalent practical experience - 5-7+ years of han
Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating p
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI model
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
Entwirft und deployt KI-Lösungen bei Industriekunden, von der Roadmap bis zur Produktion, inkl. Physik-KI-Pipelines.
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
Entwirft und deployt KI-gestützte Cybersecurity-Lösungen bei Kunden, von Workshops mit CISOs bis zur Produktion, zusammen mit dem Applied-AI-Team.
Work closely with commercial stakeholders to translate business requirements into well-scoped projects and respond to operational inquiries.
You’ll take the lead in building the data intelligence dimension of Agileday’s AI product.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency.
TYTAN Technologies The PACE is fast.
Join a technical team developing intelligent systems that connect the physical and digital worlds.
Du entwickelst KI-Lösungen, die echte Business-Probleme lösen vom intelligenten Agenten bis zum skalierbaren Produktivsystem.
Konzipiert SAP-Datenplattformen und Reporting-Lösungen mit BDC, Datasphere und SAC und realisiert KI-Use-Cases mit Joule und AI Core.
Betreibt und automatisiert das Deployment von ML-Modellen und deren Plattform per CI/CD, Kubernetes und IaC, inkl. Monitoring und Incident Management.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Our buddy program, a welcome event and a structured onboarding to help you get started with AIM. - A broad range of learning opportunities will help you staying relevant in your current role and growing into future workplace demands - An open and international working environment with a diverse and inclusive culture will inspire your everyday work. A working model which balances remote and office based work will give you the flexibility to organize the way you work. - A company pension scheme, well-being initiatives, sports offers and other local benefits will allow you achieving a positive work life balance 109279 | Finance & Accounting | Professional | | Allianz Investment Management | Full-Time | Permanent Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer.
We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world around us.
At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
Join us. Let’s care for tomorrow.
Job purpose/role Allianz Investment Management (AIM) is the internal investment manager of the Allianz Group. We develop and implement the investment strategy for Allianz insurance entities worldwide and manage the risk-return profile of the Group’s investment portfolio in a sustainable and responsible way. Within AIM, the Digital Solutions for Investment (DSI) team develops and delivers digital, data and AI solutions supporting teams across the global investment value chain. In your role, you will work closely with internal and external stakeholders to translate business needs into practical technical solutions. You will combine hands-on development with project coordination and stakeholder collaboration, contributing to the development, implementation and adoption of AI, GenAI and analytics solutions across AIM. Key responsibilities
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige76 geprüfte Stellen bei 43 Arbeitgebern, 7 davon ortsunabhängig. Modelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.