MediaMarktSaturn Retail Group
Manager Data & AI Specialist(m/w/x)
Full-timeOn-siteManagement
Ingolstadt, München
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AIAirbus Defence and Space GmbH
AI Engineer for the Analytics Plateau(m/w/x)
Manching
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Integrating Python components and LLMs into on-premise applications, designing LLM tool interfaces and function-calling schemas. Deep understanding of LLMs and Python software development skills required. 30 days paid vacation, extra days-off for special occasions.
Requirements
- Strong Python software development skills
- Deep understanding of LLMs and constraints
- Proficiency in LLM tool interfaces
- Experience with AI model integration
- Familiarity with classic NLP techniques
- Understanding of REST/GraphQL APIs
- Knowledge of containerization and orchestration
- Experience with graph databases (desirable)
- Exposure to vector stores (desirable)
- Understanding of LLM evaluation strategies (desirable)
- Familiarity with cloud platforms (desirable)
- Knowledge of AI ethics (desirable)
- B.Sc., M.Sc. in Computer Science, or related field
- Proven experience in AI engineering
- Strong Python programming skills
- Excellent problem-solving skills
- Ability to work in a team
- Proficiency in English
- Awareness of compliance risks
- Commitment to act with integrity
Tasks
- Integrate Python components and LLMs into on-premise applications
- Design LLM tool interfaces and function-calling schemas
- Implement emerging protocols like MCP or tool adapters
- Collaborate with cross-functional teams on AI integration
- Develop and maintain REST and GraphQL APIs
- Improve AI workflows and error-handling loops
- Apply classic NLP techniques for hybrid approaches
- Build lightweight data pipelines for LLM workflows
- Maintain software testing, documentation, and observability standards
- Share LLM and NLP knowledge with the team
- Model knowledge structures using Neo4j graph databases
- Execute ETL processes for structured and unstructured text
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- MCP
- spaCy
- REST
- GraphQL
- Docker
- Jenkins
- Kubernetes
- Neo4j
- AWS
- Azure
- GCP
Benefits
Competitive Pay
- Attractive salary
- Employee stock options
Bonuses & Incentives
- Special payments
More Vacation Days
- 30 days paid vacation
- Extra days-off for special occasions
Learning & Development
- Upskilling opportunities
Career Advancement
- International development prospects
Retirement Plans
- Employer-funded pension
Corporate Discounts
- Discounted car leasing
- Cooperating company benefits
Other Benefits
- Special insurance conditions
Public Transport Subsidies
- Public transport subsidies
Healthcare & Fitness
- On-site medical officer
Free or Subsidized Food
- On-site canteen and cafeteria
Childcare
- Kindergarten close to site
Flexible Working
- Job sharing
- Part-time models
- Flexible working hours
- Flexible working arrangements
Workation & Sabbatical
- Individual timeout
Informal Culture
- Diverse work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Airbus Defence and Space GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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AIAirbus Defence and Space GmbH
AI Engineer for the Analytics Plateau(m/w/x)
Manching
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Integrating Python components and LLMs into on-premise applications, designing LLM tool interfaces and function-calling schemas. Deep understanding of LLMs and Python software development skills required. 30 days paid vacation, extra days-off for special occasions.
Requirements
- Strong Python software development skills
- Deep understanding of LLMs and constraints
- Proficiency in LLM tool interfaces
- Experience with AI model integration
- Familiarity with classic NLP techniques
- Understanding of REST/GraphQL APIs
- Knowledge of containerization and orchestration
- Experience with graph databases (desirable)
- Exposure to vector stores (desirable)
- Understanding of LLM evaluation strategies (desirable)
- Familiarity with cloud platforms (desirable)
- Knowledge of AI ethics (desirable)
- B.Sc., M.Sc. in Computer Science, or related field
- Proven experience in AI engineering
- Strong Python programming skills
- Excellent problem-solving skills
- Ability to work in a team
- Proficiency in English
- Awareness of compliance risks
- Commitment to act with integrity
Tasks
- Integrate Python components and LLMs into on-premise applications
- Design LLM tool interfaces and function-calling schemas
- Implement emerging protocols like MCP or tool adapters
- Collaborate with cross-functional teams on AI integration
- Develop and maintain REST and GraphQL APIs
- Improve AI workflows and error-handling loops
- Apply classic NLP techniques for hybrid approaches
- Build lightweight data pipelines for LLM workflows
- Maintain software testing, documentation, and observability standards
- Share LLM and NLP knowledge with the team
- Model knowledge structures using Neo4j graph databases
- Execute ETL processes for structured and unstructured text
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- MCP
- spaCy
- REST
- GraphQL
- Docker
- Jenkins
- Kubernetes
- Neo4j
- AWS
- Azure
- GCP
Benefits
Competitive Pay
- Attractive salary
- Employee stock options
Bonuses & Incentives
- Special payments
More Vacation Days
- 30 days paid vacation
- Extra days-off for special occasions
Learning & Development
- Upskilling opportunities
Career Advancement
- International development prospects
Retirement Plans
- Employer-funded pension
Corporate Discounts
- Discounted car leasing
- Cooperating company benefits
Other Benefits
- Special insurance conditions
Public Transport Subsidies
- Public transport subsidies
Healthcare & Fitness
- On-site medical officer
Free or Subsidized Food
- On-site canteen and cafeteria
Childcare
- Kindergarten close to site
Flexible Working
- Job sharing
- Part-time models
- Flexible working hours
- Flexible working arrangements
Workation & Sabbatical
- Individual timeout
Informal Culture
- Diverse work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Airbus Defence and Space GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Airbus Defence and Space GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
Not a perfect match?
- MediaMarktSaturn Retail Group
Manager Data & AI Specialist(m/w/x)
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Big Data Scientist for the Services Analytics Plateau(m/w/x)
Full-timeOn-siteExperiencedManching - Airbus Defence and Space GmbH
Technical Product Manager, AI/Analytics(m/w/x)
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Aerodynamic Data Scientist(m/w/x)
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Analytical Engineer(m/w/x)
Full-timeOn-siteSeniorIngolstadt, München, Düsseldorf