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# KI Spezialist / Machine Learning Engineer

- **Company:** Michael Page International (Deutschland) GmbH
- **Location:** Hamburg, Germany (Remote available)
- **Salary:** €65,000.0 - €90,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Python (Programming Language), Machine Learning, Natural Language Processing, Software Architecture, Tensorflow, Data Processing, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Model Validation, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Restful APIs, GPT, Docker
- **Published:** August 24, 2026
- **Apply:** https://www.xing.com/jobs/hamburg-ki-spezialist-machine-learning-engineer-157330310

## About the Role

* Deutschkenntnisse auf C1/C2 Niveau
 * Abgeschlossenes Studium im Bereich Informatik, Mathematik oder Data Science mit Schwerpunkt Künstliche Intelligenz
 * Tiefgehende Programmierkenntnisse in Python sowie fundierte Erfahrung mit Frameworks wie PyTorch, TensorFlow oder Scikit-Learn
 * Praktische Erfahrung im Bereich Natural Language Processing (NLP) und im Umgang mit Large Language Models wie GPT-4 oder Llama
 * Sicherer Umgang mit MLOps-Tools zur Bereitstellung und Überwachung von Modellen in Cloud-Umgebungen
 * Fundiertes Wissen in der Datenaufbereitung und im Feature Engineering sowie in der Arbeit mit Vektordatenbanken wie Pinecone oder Milvus

## Description

* Full-timeEmployment type: Full-time
 * €65,000 - €90,000 (employer salary)
 * Hybrid
 * Be an early applicant, * Entwicklung und Training von Machine Learning Modellen unter Einsatz von Python und PyTorch
 * Implementierung von LLM-basierten Anwendungen mittels LangChain oder LlamaIndex
 * Bereitstellung von Modellen über Container-Technologien wie Docker und Kubernetes
 * Nutzung von Cloud-Ressourcen auf AWS oder Google Cloud zur Skalierung von Trainingsprozessen
 * Aufbau von automatisierten Datenpipelines zur Modell-Validierung mit MLflow
 * Integration von KI-Schnittstellen in bestehende Software-Architekturen via REST-APIs


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