Senior AI Engineer - Production AI & MLOps

Körber Pharma Packaging AG; France; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Körber Global Business Services GmbH seeks an AI Engineer to build, deploy, and operate AI solutions across production environments. You will collaborate with Product Managers, Architects, and vendors to deliver scalable, secure AI capabilities that drive measurable business value.

You will deploy ML models, develop APIs, monitor performance, and support CI/CD and MLOps practices while continuously improving observability and operational efficiency.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Engineering, or a related discipline.
• 3–6 years of experience in software/AI engineering, including cloud deployments.
• Proficiency in Python and modern software engineering practices.
• Experience with APIs, microservices, containers, and DevOps tooling.
• Exposure to AI, ML, LLMs, prompt engineering, or RAG.

Responsabilités

• Deploy ML and GenAI models into production environments.
• Develop APIs and microservices to embed AI into business apps.
• Monitor model performance, latency, and reliability, with observability dashboards.
• Troubleshoot incidents and support production operations.
• Support CI/CD and MLOps for automated delivery and maintainability.
• Collaborate with vendors and Product Managers to deliver end-to-end AI solutions.

Connaissances

Python

APIs

Microservices

Containers

DevOps

AI/ML

Cloud

Monitoring

Formation

Bachelor's degree

Outils

Docker

Kubernetes

CI/CD tools

Description du poste

Körber Global Business Services GmbH seeks an AI Engineer to build, deploy, and operate AI solutions across production environments. You will collaborate with Product Managers, Architects, and vendors to deliver scalable, secure AI capabilities that drive measurable business value.

You will deploy ML models, develop APIs, monitor performance, and support CI/CD and MLOps practices while continuously improving observability and operational efficiency.