Wir bauen eine Enterprise AI Plattform, auf der Large LanguageModels und andere AI-Services produktiv im Unternehmen eingesetzt werden können. * Deployment und Betrieb von Large LanguageModels (LLMs) auf GPU-Servern - Als "AI Platform Engineer (w/m/d)" arbeiten Sie an der technischen Grundlage dieser Plattform - von der Infrastruktur über Model- und LLM-Lifecycle bis hin zu stabilen AI-Services für interne Anwendungen. Der Fokus der Rolle liegt auf Platform Engineering an der Schnittstelle von , MLOps und LLMOps: Sie verbinden Build-&-Run (CI/CD, IaC, Kubernetes-Betrieb), Model-Lifecycle (Training/Pipelines, Versionierung, Promotion) und LLM-Lifecycle (Serving, Guardrails, Evaluierung, Monitoring) zu zuverlässigen, skalierbaren und sicher betreibbaren Services. * Aufbau und Betrieb performanter Model-Serving und Inference-Services
Wir bauen eine Enterprise AI Plattform, auf der Large LanguageModels und andere AI-Services produktiv im Unternehmen eingesetzt werden können. * Deployment und Betrieb von Large LanguageModels (LLMs) auf GPU-Servern - Als "AI Platform Engineer (w/m/d)" arbeiten Sie an der technischen Grundlage dieser Plattform - von der Infrastruktur über Model- und LLM-Lifecycle bis hin zu stabilen AI-Services für interne Anwendungen. Der Fokus der Rolle liegt auf Platform Engineering an der Schnittstelle von , MLOps und LLMOps: Sie verbinden Build-&-Run (CI/CD, IaC, Kubernetes-Betrieb), Model-Lifecycle (Training/Pipelines, Versionierung, Promotion) und LLM-Lifecycle (Serving, Guardrails, Evaluierung, Monitoring) zu zuverlässigen, skalierbaren und sicher betreibbaren Services. * Aufbau und Betrieb performanter Model-Serving und Inference-Services
Du führst Threat Modeling und Risikoanalysen für neue KI-Anwendungen durch. * Erfahrung mit Threat Modeling, Risikoanalysen oder Security Incident Response
Du führst Threat Modeling und Risikoanalysen für neue KI-Anwendungen durch. * Erfahrung mit Threat Modeling, Risikoanalysen oder Security Incident Response
Theoretische und praktische Kenntnisse in spannenden Vorlesungen des Studiums wie bspw. Computorial Thinking, Robotik, Datenerhaltung, Objektorientierte Programmierung, Deep Learning und Modelbildung/Simulation.
Theoretische und praktische Kenntnisse in spannenden Vorlesungen des Studiums wie bspw. Computorial Thinking, Robotik, Datenerhaltung, Objektorientierte Programmierung, Deep Learning und Modelbildung/Simulation.
Fluent German and English skills, written and spoken (business language is English); * Work-life balance: 30 days of vacation and a flextime model for flexible working hours
Fluent German and English skills, written and spoken (business language is English); * Work-life balance: 30 days of vacation and a flextime model for flexible working hours
Selbstständige, strukturierte Arbeitsweise sowie Kommunikations- und Durchsetzungsstärke, insbesondere vor Ort im laufenden BaustellengeschehenAnforderungen an den Bewerber: Erweiterte Kenntnisse: Building Information Modeling - BIM, Industrie-, Gewerbebau (Planung, Überwachung), CAD-Anwendung Revit
Selbstständige, strukturierte Arbeitsweise sowie Kommunikations- und Durchsetzungsstärke, insbesondere vor Ort im laufenden BaustellengeschehenAnforderungen an den Bewerber: Erweiterte Kenntnisse: Building Information Modeling - BIM, Industrie-, Gewerbebau (Planung, Überwachung), CAD-Anwendung Revit
Hands‑on experience with Large LanguageModels, prompt engineering, fine‑tuning or integrating LLMs into production systems. Your work will span dynamic pricing, demand forecasting and data‑driven buying decisions, where you will build, optimize and productionize models operating at scale. You will explore and implement LLM‑based methods and agentic AI approaches to enhance automation, decision support and model interpretability in real retail scenarios. You will collaborate closely with business , product teams and to translate complex retail challenges into measurable ML outcomes, ensuring that models deliver tangible business value. * Strong command of Python (data processing, model development, performance optimization) and SQL (analytical queries, data modelling) * Practical experience with ML frameworks such as TensorFlow, scikit‑learn, XGBoost and/or LightGBM, including ...
Hands‑on experience with Large LanguageModels, prompt engineering, fine‑tuning or integrating LLMs into production systems. Your work will span dynamic pricing, demand forecasting and data‑driven buying decisions, where you will build, optimize and productionize models operating at scale. You will explore and implement LLM‑based methods and agentic AI approaches to enhance automation, decision support and model interpretability in real retail scenarios. You will collaborate closely with business , product teams and to translate complex retail challenges into measurable ML outcomes, ensuring that models deliver tangible business value. * Strong command of Python (data processing, model development, performance optimization) and SQL (analytical queries, data modelling) * Practical experience with ML frameworks such as TensorFlow, scikit‑learn, XGBoost and/or LightGBM, including ...
Du integrierst moderne LLM-Lösungen (Large LanguageModels) in unsere Arbeitsprozesse, um die Dokumentenbearbeitung und externe Kommunikation für unsere und zu unterstützen.
Du integrierst moderne LLM-Lösungen (Large LanguageModels) in unsere Arbeitsprozesse, um die Dokumentenbearbeitung und externe Kommunikation für unsere und zu unterstützen.
Languages: Fluent English is essential; German or another additional language is considered a plus. Flexible Work Models We allow for flexible work models to ensure both professional and personal success.
Languages: Fluent English is essential; German or another additional language is considered a plus. Flexible Work Models We allow for flexible work models to ensure both professional and personal success.
You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts. You're not a research scientist; you wield models and engineer ruthlessly around their uncertainty. * Render model output into live, streamed, accessible UI via generative-UI protocols * Ground models in real data: retrieval, embeddings, and feedback loops that actually close - Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs
You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts. You're not a research scientist; you wield models and engineer ruthlessly around their uncertainty. * Render model output into live, streamed, accessible UI via generative-UI protocols * Ground models in real data: retrieval, embeddings, and feedback loops that actually close - Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs
Educate product teams on risk assessments, threat modelling, and building secure api-first applications * Experience with Secure Architecture design reviews and Threat Modeling * Practical experience in DevSecOps and proficiency in at least one scripting language like JavaScript or Go - Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs
Educate product teams on risk assessments, threat modelling, and building secure api-first applications * Experience with Secure Architecture design reviews and Threat Modeling * Practical experience in DevSecOps and proficiency in at least one scripting language like JavaScript or Go - Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs