Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute.
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.
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.
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best prod
Entwirft und deployt KI-gestützte Cybersecurity-Lösungen bei Kunden, von Workshops mit CISOs bis zur Produktion, zusammen mit dem Applied-AI-Team.
Advise on AI trust and governance.
Führt Kundenprojekte in Automotive, Luftfahrt und Energie durch und entwickelt ML- und Deep-Learning-Lösungen für Engineering-Daten.
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
You’ll take the lead in building the data intelligence dimension of Agileday’s AI product.
Entwickelt Echtzeit-C++-Perception-Komponenten für autonome Drohnen: Tracking, Zustandsschätzung und Integration neuronaler Detektoren.
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
Role highlights: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forwa
Join our GPU simulation team and build the simulator that trains our reinforcement-learning agents for air autonomy.
Policy Development: Design, train, and evaluate vision- and language-conditioned robot policies using approaches such as imitation learning,
System Architecture: Own how collection, generation, augmentation, annotation, valuation, and evaluation fit together as one coherent data-t
Agile Robots SE is an innovative company with a clear mission: bringing intelligent robotic solutions to our customers.
Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how busines
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency.
The AI Teams at Agile Robots are looking for a Senior Computer Vision Engineer (m/f/d) Robotic Manipulation, who will build vision and softw
Definiert die Kamera-Erfassungsspezifikation für Manipulations-Trainingsdaten, baut das Evaluationsframework und trainiert erste Roboter-Policies auf eigenen Daten.
Your mission Bookboost is the Hospitality Engagement Platform that empowers hotels to understand and engage their guests like never before.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strategic engineering of our products. In the Automotive Engineering Lab (AEL) teams are rapidly growing and focused on advanced automotive technologies in multiple domains. Join Automotive Engineering Lab (AEL) as: AI/ML Engineer (Leased Labor 18-months) (m/f/d) Your mission Apply state of the art approaches to ensure smooth operation of AI/ML activities in the AEL Safety Team. - Set up and maintain end-to-end AI pipelines, large-scale datasets, and deep learning frameworks. - Develop and automate the AI engineering lifecycle, including model training and data labeling workflows. - Implement data pre- and post- processing, including data transformations, cleaning, and filtering. - Monitor and optimize the use of GPU resources, ensure system stability and performance. - Deploy open-source models and conduct benchmarks.
Your areas of expertise - Bachelor’s or Master’s degree in Computer Science, Data Science Electrical Engineering or similar field. - Experience and proficient skills in AI/ML design, training and implementation, AI frameworks such as PyTorch, TensorFlow, Keras, Python programming and data pre-/post-processing. - Experience in deploying AI models using LLM related model. Experience in deployment of end-to-end models for automotive is an advantage. - Knowledge in CI/CD environments, Docker, scripting and build/deploy process automation. - Hands-on attitude and positive engagement to integrate into a high-performance team. - Proficiency in English. German and/or Chinese knowledge are an advantage.
By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here. Your rewards of working here - Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network. - We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen. - To keep your development ongoing, you will find a broad range of training opportunities.
Many online and face-to-face training programs incl. language courses in German and Mandarin. - Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities. - Self-responsible work in a competent, motivated and constantly growing team. Please send your application and CV (incl. cover letter and reference letters) in English. Huawei is a leading global information and communications technology (ICT) solutions provider.
Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world s population. With 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige128 geprüfte Stellen bei 79 Arbeitgebern, 10 davon ortsunabhängig. 73 in der KI-Entwicklung, 33 in Integration & Automatisierung.