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ML-Engineer

CIB software·Salary not specified

Primary stack

PythonGitDocker

Nice to have's

OpenSearchElasticsearchMilvusRAGJavaKubernetesAWS

Job description

ML-Engineer

About CIB

We are experts in the digitalization and automation of processes with artificial intelligence. Our goal is to free companies and administrations from tedious everyday tasks in document management. To achieve this, we develop innovative apps and invest in the research and development of AI.

Apply today and become part of one of the leading companies in the field of digitization and document management with over 35 years of experience. We look forward to hearing from you!

Working with us

  • Enjoy workation in Munich, Vienna, Valencia, Las Palmas de Gran Canaria or Faro
  • Permanent employment contract
  • Flexible working hours
  • Work from home or in one of our modern offices
  • Attractive social benefits & individual incentives
  • A strong team with flat hierarchies and genuine cooperation
  • Training and perspectives for your professional development
  • Exciting learning opportunities, e.g., participation in research projects
  • Interesting and varied tasks in an innovative software company
  • Working with modern technologies and agile methods
  • Opportunities to help shape processes and quality assurance strategies

About the Position

We are looking for a passionate ML-Engineer to join our team and contribute to the development of innovative AI solutions for document management.

Responsibilities

  • Development of agent-based document search systems and process assistants
  • Training and integration of ML models into end products
  • Expansion of automated training pipelines
  • Observability and monitoring of ML systems
  • Participation in customer and research projects

Requirements

  • Required

    • Professional experience as an ML engineer or ML platform engineer
    • Good knowledge of Python
    • Solid knowledge of Git and Docker
    • Experience with production operation of ML systems (APIs, deployments, monitoring)
  • Desirable

    • Search technologies: OpenSearch, Elasticsearch, Lucene, Milvus (or comparable)
    • LLM integration: RAG, MCP (Model Context Protocol), tool use, prompt/response evaluation
    • Java basics, Kubernetes, AWS
    • Advanced German and/or English (B2+)

Mindset and Teamplayer

  • You take ownership and drive topics forward independently.
  • Strong discussion and communication skills: You contribute ideas, challenge assumptions, and work constructively in a team
  • You enjoy keeping up to date and constantly learning in a rapidly changing technology landscape

We Offer

  • Competitive salary
  • Permanent employment contract
  • Flexible working hours
  • Work from home or in one of our modern offices
  • Attractive social benefits & individual incentives
  • A strong team with flat hierarchies and genuine cooperation
  • Training and perspectives for your professional development
  • Exciting learning opportunities, e.g., participation in research projects

Onboarding

Your onboarding process will generally take place in person at our offices and will last approximately six months. During this time, you’ll gain an in-depth understanding of our company, our products, and your team. This allows us to create the best conditions for you to get off to a successful start at CIB.

For this reason, we do not offer a remote onboarding process.

Application Process

Please send us:

  • Curriculum vitae in German or English
  • Cover Letter
  • Certificates of studies, starting date
  • Other relevant information

Please use the form only, so that we can process your application.

Any questions about your application?

Please contact

[email protected]

Your application

Please submit documents in PDF format only. To create your folder, you can use CIB pdf standalone.

Spontaneous application

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© CIB software. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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