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Airbus Defence and Space GmbH
26d ago

MLOps Engineer(m/w/x)

Taufkirchen, Ottobrunn
Full-timeOn-siteSenior
AI/ML

Description

As an MLOps Engineer, you will work closely with Data Science and AI teams to deploy new features on the GenAI platform. Your role involves managing MLOps practices, optimizing infrastructure, and ensuring system performance while supporting continuous improvement and compliance.

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Requirements

  • 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

Education

Master's degree
OR
Bachelor's degree

Work Experience

5 years

Tasks

  • 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

Languages

GermanBusiness Fluent

EnglishBusiness Fluent

SpanishBasic

FrenchBasic

Benefits

More Vacation Days

  • 30 days paid vacation
  • Extra days-off for special occasions

Learning & Development

  • Excellent upskilling opportunities

Retirement Plans

  • Employer-funded pension

Competitive Pay

  • Employee stock options

Corporate Discounts

  • Discounted car leasing
  • Employee benefits at cooperating companies

Additional Allowances

  • Special conditions for insurances

Public Transport Subsidies

  • Subsidies for public transport

Childcare

  • Kindergarten close to the site

Healthcare & Fitness

  • Medical officer for check-ups
  • Gym

Free or Subsidized Food

  • Canteen and cafeteria

Flexible Working

  • Job sharing
  • Part-time models
  • Flexible working hours

Workation & Sabbatical

  • Individual timeout

Informal Culture

  • Diverse environment
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