BMW Group

Intern, Tech Excellence – Financial Services

BMW Group

internship

Posted on:

Location Type: Hybrid

Location: Munich • 🇩🇪 Germany

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Job Level

Entry Level

Tech Stack

AWSAzureCloudPython

About the role

  • Support the development, experimentation, and evaluation of AI models for Financial Services.
  • Help with architectural documentation and design discussions.
  • Contribute to building blocks for the AI landscape.
  • Use and maintain MLOps pipelines, tools, and BMW Group AI platforms for reliable prototypes.
  • Contribute to prototyping and piloting AI models that enhance Financial Services processes.
  • Support compliance activities by following processes, preparing documentation, and participating in model reviews.
  • Collaborate with global stakeholders to gather requirements, share results, and align with strategic goals.
  • Stay curious about AI technology trends and share insights to help the team adopt new approaches.

Requirements

  • Studies in AI, data science, computer science, engineering, physics, mathematics or a related field.
  • Solid Python programming skills and familiarity with machine learning libraries; MLflow experience is a plus.
  • Interest in GenAI and multi-agent AI architectures; experience with LangChain or LangGraph is a plus.
  • Understanding of core machine learning models and their evaluation.
  • Familiarity with cloud concepts (AWS and/or Azure) and MLOps fundamentals is a plus.
  • Experience with n8n or similar workflow automation tools is an advantage.
  • Business-level fluency in English; proficiency in German is a plus.
Benefits
  • Comprehensive mentoring & onboarding.
  • Personal & professional development.
  • Flexible working hours.
  • Mobile work.
  • Attractive & fair compensation.
  • Apartments for students (subject to availability & only at the Munich location).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Pythonmachine learningMLflowGenAImulti-agent AI architecturesLangChainLangGraphMLOpsworkflow automation
Soft skills
collaborationcommunicationcuriosity