MLOps Engineer

Airbus SE; München; Vor Ort; EUR 75.000 - 95.000; Vollzeit

Zusammenfassung

A leading defense and aerospace company in Munich seeks a full-time MLOps Engineer. In this mid-senior level role, you will enhance the GenAI platform by implementing MLOps practices and managing a hybrid-cloud infrastructure. The ideal candidate will possess a Master's or Bachelor's degree in a relevant field, with over 5 years of MLOps experience, particularly in regulated industries. Proficiency in German and English is required, with additional languages considered a plus. This role offers the opportunity to contribute to innovative defense solutions.

Qualifikationen

• 5+ years in MLOps/DevOps, focusing on automation and infrastructure management.
• Extensive experience with AI models in regulated Defence and Aerospace sectors.
• Fluent in German and English, with knowledge of Spanish or French as a bonus.

Aufgaben

• Implement MLOps practices and model versioning.
• Manage infrastructure across on-premise and cloud.
• Document operational procedures and support best practices.

Kenntnisse

CI/CD automation

Infrastructure management

Operational support

Kubernetes environments

Data governance

Security compliance

Ausbildung

Master's degree in AI or ML

Bachelor's degree in relevant field

Jobbeschreibung

Airbus Defence and Space is a leader in creating cutting‑edge, effective solutions and services for the space and defense industries. The company is committed to driving innovation and advancing the industry while prioritizing the people it collaborates with and serves. As a trusted partner, Airbus Defence and Space empowers its teams to solve challenges and make a meaningful impact. Joining the organization means contributing to groundbreaking projects that shape the future of space and defense.

Role Description

This is a full‑time MLOps Engineer role based on‑site at our Munich location. You will support the deployment and operational excellence of our internal GenAI platform by collaborating with Data Science and AI Engineering teams. Key responsibilities cover implementing MLOps practices, model versioning, and performance monitoring; managing / optimizing the platform's infrastructure across on‑premise, cloud, and containerized environments; developing operational scripts for deployments and system health checks; providing monitoring, troubleshooting, and incident resolution; ensuring SLAs adherence; documenting operational procedures; and supporting continuous improvement of platform stability, performance, and scalability. You will also ensure compliance with security and data governance policies, provide ad‑hoc support for critical issues, and support best practices for reducing environmental impact.

Qualifications

• Master level (or equivalent) in Artificial Intelligence (AI) or Machine Learning (ML), Data Science, Computer Science with specialization in cloud computing, DevOps and/or AI would be ideal
• or Bachelor's Degree in Computer Science, Software Engineering, Data Science or other related discipline in combination with broad professional experience
• 5+ years in MLOps/DevOps, specializing in CI/CD automation and infrastructure management for GenAI platforms across hybrid‑cloud and Kubernetes environments
• Extensive experience in operational support and management of deployed AI models and technology stack within highly regulated Defence and/or Aerospace industries, ensuring adherence to data governance, security, and defense‑grade compliance standards
• Languages: German and English at negotiation level, Spanish and/ or French would be a plus

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Defense and Space Manufacturing

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