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Advantest Europe GmbH

MLOps Engineer (m/f/d)

Böblingen, Baden-Württemberg, Germany

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hirly's read of this role

Role family
Sales
Seniority
Mid level
Country
DE
Work mode
On-site / unstated
First seen by hirly
26 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

  • Implement and operate CI/CD pipelines, automated testing and release processes for AI/ML workloads.
  • Build and maintain model registry, model serving and AI gateway integrations for LLM APIs and internal applications.
  • Configure and maintain observability for model usage, cost, token consumption, latency, reliability and quality signals using tools such as Prometheus, Grafana, logging and alerting platforms.
  • Support the transition of workloads from sandbox or PoC environments into production by following defined standards, runbooks and support models.
  • Implement reusable technical components for LLM API integration, RAG pipelines, evaluation pipelines and integration with business applications.
  • Execute infrastructure-as-code for platform environments across container and cloud infrastructure, including Docker, Kubernetes and Helm-based deployment patterns.
  • Maintain runbooks, operating procedures, technical documentation and operational dashboards for platform components.
  • Support incident analysis, reliability improvements, cost optimization and lifecycle maintenance for production AI workloads.
  • Work with nearshore, system integration or cloud partners on specific implementation tasks as directed by the AI Platform Engineer.
  • Collaborate with data engineering, application development, cloud platform and security teams on integration, identity, access and deployment requirements.
Original posting on Advantest Europe GmbH's site ↗

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