Fundierte Kenntnisse und praktische Erfahrungen im Bereich Machine Learning, Deep Learning, Large LanguageModels (LLMs), KI-Anwendungen, Datenaufbereitung und Datenarchitektur * Innovatives KI-Umfeld: Arbeite mit modernsten Technologien im Bereich Machine Learning, Generative AI und Large LanguageModels und gestalte die Zukunft des Engineerings aktiv mit
Fundierte Kenntnisse und praktische Erfahrungen im Bereich Machine Learning, Deep Learning, Large LanguageModels (LLMs), KI-Anwendungen, Datenaufbereitung und Datenarchitektur * Innovatives KI-Umfeld: Arbeite mit modernsten Technologien im Bereich Machine Learning, Generative AI und Large LanguageModels und gestalte die Zukunft des Engineerings aktiv mit
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
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
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
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
Deutschland, Hartenholm bei Hamburg, Eching bei München, Italien, Niederlande, Polen
Teilweise Home-Office
Define and enforce design standards, guardrails and architecture documentation (data model, access control, integrations) * Develop architectural expertise in a highly diverse multi-tenant environment, covering multiple business models, processes, integrations and country-specific requirements.
Define and enforce design standards, guardrails and architecture documentation (data model, access control, integrations) * Develop architectural expertise in a highly diverse multi-tenant environment, covering multiple business models, processes, integrations and country-specific requirements.
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
Work-life balance: Enjoy 30 days of annual leave, flexible working hours, and a hybrid working model that combines on-site and remote work, giving you the flexibility to tailor your work routine to your individual needs.
Work-life balance: Enjoy 30 days of annual leave, flexible working hours, and a hybrid working model that combines on-site and remote work, giving you the flexibility to tailor your work routine to your individual needs.
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.
Strong understanding of AI, automation, and emerging agentic models, and their implications for enterprise platforms. Any other european language would be a plus.
Strong understanding of AI, automation, and emerging agentic models, and their implications for enterprise platforms. Any other european language would be a plus.
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.
We maintain the official language clients (Python, JavaScript, Java, Go, Rust, C++, C#) and ODBC driver; ship first-party connectors for Kafka Connect, Apache Spark, Apache Flink, dbt, and Airbyte; and own integrations with BI platforms. This role sits on the Language Clients team, which provides the JVM foundation that everything else in the ecosystem is built on. As a Senior Software Engineer on Language Clients, you'll be a technical owner of ClickHouse's Java client and JDBC driver, the foundation that our own Connectors team and a long list of external * Deep Java and JVM expertise: memory model, GC tuning, profiling, and the ability to reason about throughput and latency at the level of bytes on the wire.
We maintain the official language clients (Python, JavaScript, Java, Go, Rust, C++, C#) and ODBC driver; ship first-party connectors for Kafka Connect, Apache Spark, Apache Flink, dbt, and Airbyte; and own integrations with BI platforms. This role sits on the Language Clients team, which provides the JVM foundation that everything else in the ecosystem is built on. As a Senior Software Engineer on Language Clients, you'll be a technical owner of ClickHouse's Java client and JDBC driver, the foundation that our own Connectors team and a long list of external * Deep Java and JVM expertise: memory model, GC tuning, profiling, and the ability to reason about throughput and latency at the level of bytes on the wire.
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