Dein persönlicher KI-Karriere-Agent
MLOps Engineer(m/w/x)
MLOps practices deployment for GenAI platform functionalities, supporting CI/CD for AI models at a major aerospace manufacturer. Specialization in CI/CD automation for GenAI platforms and operational support in regulated Aerospace/Defence DevOps required. 30 days vacation, employee stock options.
Anforderungen
- Master level or equivalent in Artificial Intelligence, Machine Learning, Data Science, Computer Science with specialization in cloud computing, DevOps, or AI
- Bachelor's Degree in Computer Science, Software Engineering, Data Science, or related discipline with broad professional experience
- 5+ years in MLOps/DevOps specializing in CI/CD automation and infrastructure management for GenAI platforms
- Extensive experience in operational support and management of deployed AI models and technology stack in regulated Defence or Aerospace industries
- Languages: German and English at negotiation level, Spanish and/or French would be a plus
Aufgaben
- Collaborate with Data Science and AI Engineering teams
- Ensure seamless deployment of new functionalities for the GenAI platform
- Implement and manage MLOps practices
- Support continuous integration and continuous deployment (CI/CD) for AI models
- Monitor model performance and versioning
- Manage and optimize the GenAI platform's infrastructure
- Work across on-premise, cloud, and containerized environments
- Develop and maintain operational scripts for deployments and health checks
- Provide operational support for the GenAI platform
- Monitor and troubleshoot incidents
- Track systems performance against service-level agreements (SLAs)
- Provide ad-hoc support for critical platform issues
- Document operational procedures and troubleshooting guides
- Contribute to the platform's stability, performance, and scalability
- Ensure compliance with security and data governance policies
- Support best practices for reducing environmental footprint
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
- Spanisch – Grundkenntnisse
- Französisch – Grundkenntnisse
Benefits
Mehr Urlaubstage
- 30 days paid vacation
- Extra days-off for special occasions
Weiterbildungsangebote
- Excellent upskilling opportunities
Betriebliche Altersvorsorge
- Employer-funded pension
Attraktive Vergütung
- Employee stock options
Mitarbeiterrabatte
- Discounted car leasing
- Employee benefits at cooperating companies
Sonstige Zulagen
- Special conditions for insurances
Öffi Tickets
- Subsidies for public transport
Kinderbetreuung
- Kindergarten close to the site
Gesundheits- & Fitnessangebote
- Medical officer for check-ups
- Gym
Gratis oder Vergünstigte Mahlzeiten
- Canteen and cafeteria
Flexibles Arbeiten
- Job sharing
- Part-time models
- Flexible working hours
Workation & Sabbatical
- Individual timeout
Lockere Unternehmenskultur
- Diverse environment
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MLOps Engineer(m/w/x)
MLOps practices deployment for GenAI platform functionalities, supporting CI/CD for AI models at a major aerospace manufacturer. Specialization in CI/CD automation for GenAI platforms and operational support in regulated Aerospace/Defence DevOps required. 30 days vacation, employee stock options.
Anforderungen
- Master level or equivalent in Artificial Intelligence, Machine Learning, Data Science, Computer Science with specialization in cloud computing, DevOps, or AI
- Bachelor's Degree in Computer Science, Software Engineering, Data Science, or related discipline with broad professional experience
- 5+ years in MLOps/DevOps specializing in CI/CD automation and infrastructure management for GenAI platforms
- Extensive experience in operational support and management of deployed AI models and technology stack in regulated Defence or Aerospace industries
- Languages: German and English at negotiation level, Spanish and/or French would be a plus
Aufgaben
- Collaborate with Data Science and AI Engineering teams
- Ensure seamless deployment of new functionalities for the GenAI platform
- Implement and manage MLOps practices
- Support continuous integration and continuous deployment (CI/CD) for AI models
- Monitor model performance and versioning
- Manage and optimize the GenAI platform's infrastructure
- Work across on-premise, cloud, and containerized environments
- Develop and maintain operational scripts for deployments and health checks
- Provide operational support for the GenAI platform
- Monitor and troubleshoot incidents
- Track systems performance against service-level agreements (SLAs)
- Provide ad-hoc support for critical platform issues
- Document operational procedures and troubleshooting guides
- Contribute to the platform's stability, performance, and scalability
- Ensure compliance with security and data governance policies
- Support best practices for reducing environmental footprint
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – verhandlungssicher
- Englisch – verhandlungssicher
- Spanisch – Grundkenntnisse
- Französisch – Grundkenntnisse
Benefits
Mehr Urlaubstage
- 30 days paid vacation
- Extra days-off for special occasions
Weiterbildungsangebote
- Excellent upskilling opportunities
Betriebliche Altersvorsorge
- Employer-funded pension
Attraktive Vergütung
- Employee stock options
Mitarbeiterrabatte
- Discounted car leasing
- Employee benefits at cooperating companies
Sonstige Zulagen
- Special conditions for insurances
Öffi Tickets
- Subsidies for public transport
Kinderbetreuung
- Kindergarten close to the site
Gesundheits- & Fitnessangebote
- Medical officer for check-ups
- Gym
Gratis oder Vergünstigte Mahlzeiten
- Canteen and cafeteria
Flexibles Arbeiten
- Job sharing
- Part-time models
- Flexible working hours
Workation & Sabbatical
- Individual timeout
Lockere Unternehmenskultur
- Diverse environment
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Airbus Defence and Space GmbH
Branche
Aerospace
Beschreibung
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
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