MLOps Engineer (m/f/d) 10.10.2026 Advantest Europe GmbH Böblingen

Labo; Böblingen; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

30 vacation days

Mobile working

Part-time options

Bike leasing

Bonus program

Onboarding & mentoring

Wellbeing programs

Zusammenfassung

Advantest Europe GmbH is seeking an AI Platform Engineer to design and run CI/CD pipelines for AI/ML workloads in a global setting. You will build model registries, integrate AI gateways, and ensure observability and cost controls across production workloads.

You will work with nearshore, system integrators and cloud partners, applying IaC practices with Docker, Kubernetes and Helm. English fluency and security-minded development are essential.

Qualifikationen

• 3-5 years of experience in DevOps, cloud engineering, ML engineering, MLOps or platform engineering.
• Strong practical Python skills and Git-based development workflows.
• Experience with Docker and Kubernetes; Helm is desirable.
• Working experience with Azure or AWS cloud services, IAM concepts.
• Observability tooling such as Prometheus, Grafana, logging platforms and alerting practices.
• Familiarity with MLOps concepts such as model registries, evaluation pipelines, drift monitoring and model lifecycle management.
• Understanding of network isolation, identity, secrets management and API access control.
• Fluency in English, spoken and written.

Aufgaben

• 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.
• Support the transition of workloads from sandbox or PoC environments into production by following defined standards, runbooks and support models.
• Implement reusable 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 patterns.
• Maintain runbooks, operating procedures, technical documentation and dashboards for platform components.
• Support incident analysis, reliability improvements, cost optimization and lifecycle maintenance for production AI workloads.
• Collaborate with nearshore, system integration or cloud partners on implementation tasks.

Kenntnisse

DevOps

Cloud engineering

ML engineering

MLOps

Python

Git-based workflows

English fluency

Flexibility

Security

Tools

Docker

Kubernetes

Helm

Prometheus

Grafana

CI/CD tooling

Infrastructure as Code

Azure

AWS

Jobbeschreibung

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IoT, 5G and Artificial Intelligence. Unthinkable without us. More than half of all the microchips produced worldwide first pass through our hands. As the global market leader of automated test systems in the semiconductor industry we help the world to realize the digital transformation, enable our customers to shape the future and offer you the exciting jobs intended for pioneers.You work in international teams with a high degree of personal responsibility and short communication channels.

• 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.
• 3-5 years of experience in DevOps, cloud engineering, ML engineering, MLOps or platform engineering.
• Hands-on experience with CI/CD, infrastructure as code and automated deployment in production environments.
• Strong practical Python skills and Git-based development workflows.
• Experience with Docker and Kubernetes; deployment tooling such as Helm is desirable.
• Working experience with Azure or AWS cloud services, including compute, storage and IAM concepts.
• Experience with observability tooling such as Prometheus, Grafana, logging platforms and alerting practices.
• Familiarity with MLOps concepts such as model registries, evaluation pipelines, drift monitoring and model lifecycle management.
• Understanding of network isolation, identity, secrets management and API access control.
• Fluency in English, spoken and written.
• Flexibility
• Development
• Fitness
• Security
• Flexibility: Flexible and trust-based working hours, 30 vacation days + option for additional vacation days, mobile working, individual part-time models and programs for extended periods of absence
• Benefits: Attractive salary, share in Advantest´s success through our exceptionally appealing bonus program as well as numerous subsidies, discounts and offerings (e.g. bike leasing)
• Development: Structured onboarding programs and mentoring, development discussions, technical and soft skill trainings, language courses and knowledge sessions
• Fitness: Ergonomic working environment, sports and fitness options and events (e.g. Global Challenge) as well as health days
• Security: Attractive company pension scheme, comprehensive insurance coverage and support in emergency situations
• Insights into our work environment

Advantest Europe GmbH

If you have any questions, Ann-Kathrin Rupp will be happy to answer them.

Ann-Kathrin Rupp

Böblingen+49 (0) 7031.204.8022

For further information visit: www.advantest-career.de