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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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Intern AI Engineer - Customer Journey Analytics & Data Science (f/m/x)

BMW Group
Found 1 month ago
Location
Munich, Germany
Duration (Months)
6 Months
Time
Full-time
Work Mode
Not disclosed
Salary
Attractive & fair compensation
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • AI
  • GenAI
  • Large Language Models
  • LangChain
  • LangGraph
  • data analysis
  • model development
  • deployment
  • data pipelines
  • AWS
  • GCP
  • Azure
  • Machine Learning
  • Unsupervised Learning
  • Python
  • software development
  • relational databases
  • NLP
  • SQL

Soft Skills

  • communication skills
  • teamwork
  • problem-solving

Job Description

Our team at the BMW Group is dedicated to data-driven analysis and optimization of customer channels worldwide, including websites. With great passion, we support the continuous improvement of products and the customer experience through analytics and data science. What awaits you? * You will support with hands-on AI and GenAI projects using Large Language Models, LangChain or LangGraph to develop innovative solutions for business needs. * Furthermore, you help to accompany the complete lifecycle from data analysis and model development to deployment. * In addition, you will assist in building scalable data pipelines and gain practical experience with cloud platforms such as AWS, GCP or Azure. * Moreover, you support applying Machine Learning, especially Unsupervised Learning, to real datasets and visualizing insights. * You will help to present results, exchange ideas with various teams and further develop your communication skills. * Furthermore, you contribute to the coordination and communication within international developer teams to foster efficient teamwork and problem-solving.

Requirements

  • Studies in computer science, business informatics, data science or a related field.
  • Python skills and initial experience in software development.
  • Experience with relational databases and cloud experience with AWS, GCP or Azure.
  • Experience with NLP, LangChain, LangGraph or similar frameworks and initial practical experience with Large Language Models (e.g. personal projects, courses, hackathons) is an advantage.
  • Data engineering skills such as SQL or data pipelines are beneficial.
  • Knowledge in Machine Learning (Supervised and Unsupervised) is a plus.
  • Good English skills; German is an advantage.

Related Field

  • AI & Machine Learning

Related Subfield

  • Natural Language Processing (NLP)

Languages

  • English

Nice to Haves

  • Experience with NLP, LangChain, LangGraph or similar frameworks and initial practical experience with Large Language Models
  • Data engineering skills such as SQL or data pipelines
  • Knowledge in Machine Learning (Supervised and Unsupervised)
  • German is an advantage
▶Apply Now

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