MLOps Engineer (m/f/d)

Labo; Böblingen; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Bonus program

30 vacation days

Mobile working

Job summary

Advantest Europe GmbH in Böblingen, Germany seeks a DevOps/ML Platform Engineer to implement and operate CI/CD pipelines, automate testing and release of AI/ML workloads, and manage model registries and serving. You will integrate LLM APIs and ensure observability across platforms.

The role collaborates with data engineering, cloud, security teams and requires 3–5 years in DevOps/ML platform engineering. German worksite with flexible hours and mobile working options.

Qualifications

• 3-5 years of experience in DevOps, cloud engineering, ML engineering, MLOps or platform engineering.

Responsibilities

• Implement and operate CI/CD pipelines for AI/ML workloads.

Skills

CI/CD pipelines

AI/ML workloads

Model registry

Model serving

LLM API integration

Python

Git workflows

Docker

Kubernetes

Helm

Azure/AWS

Observability

MLOps concepts

Tools

Docker

Kubernetes

Helm

Prometheus

Grafana

Job description

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 GmbHIf you have any questions, Ann-Kathrin Rupp will be happy to answer them.Ann-Kathrin RuppBöblingen+49 (0) 7031.204.8022For further information visit: www.advantest-career.de