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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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Intern Artificial Intelligence (m/f/d)*

Munich Re
Found 2 months ago
Location
Munich, Germany
Duration (Months)
6 Months
Time
Full-time
Work Mode
On-site
Salary
Competitive Salary
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master
  • Bachelor

Skills & Qualifications

Technical Skills

  • Machine Learning
  • AI
  • python
  • DevOps
  • Git
  • unit testing
  • Deep Learning
  • neural network architectures
  • training techniques
  • Natural Language Processing
  • Computer Vision
  • Machine Learning Operations
  • evaluation and monitoring of machine learning systems
  • performance
  • fairness
  • trustworthiness
  • concept drift
  • Large Language Models
  • Generative AI
  • prompt engineering
  • orchestration
  • RAG techniques
  • agentic workflows
  • fine-tuning
  • deployment of foundation models
  • business analytics
  • web development
  • app development
  • backend engineering
  • cloud computing platforms
  • containerization technologies
  • CI/CD
  • data science
  • engineering

Soft Skills

  • Excellent communication and organization skills
  • highly motivated
  • hands-on mentality

Job Description

Join our AI department as an intern, supporting our highly motivated and ambitious teams. Contribute hands-on to the development and continuous improvement of our internal AI products and platforms. Collaborate closely with our team of AI experts and stakeholders throughout Munich Re’s reinsurance business. Depending on your individual experience and preferences, you'll be embedded in one of our project teams with various focus areas. Your day-to-day activities may include system and requirements design, code implementation, testing and continuous integration, infrastructure and deployment, user research, evaluation and analytics, data curation, technology consulting, or integration of cutting-edge academic research.

Requirements

  • Master’s studies (or final year of Bachelor's studies) with a strong academic record in a quantitative field like Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related discipline
  • Excellent communication and organization skills; highly motivated with a hands-on mentality.
  • Demonstrated programming experience in python and first experiences with DevOps best-practices (e.g. Git, unit testing).
  • A strong foundation, both in theory and practice, in one or more of the following areas: Deep Learning (e.g. neural network architectures and training techniques, Natural Language Processing, Computer Vision), Machine Learning Operations (e.g. evaluation and monitoring of machine learning systems regarding performance, fairness, trustworthiness, concept drift, …), and/or Large Language Models and Generative AI (e.g. prompt engineering and orchestration, RAG techniques, agentic workflows, fine-tuning, evaluation, and/or deployment of foundation models).
  • You are available for an internship duration of 6 months or longer.
  • If desired, part-time work can be arranged after an initial full-time period of at least 3 months.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Nice to Haves

  • business analytics
  • web and app development (especially backend engineering)
  • cloud computing platforms
  • containerization technologies
  • CI/CD
  • other data science and engineering fields
▶Apply Now

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