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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

6Open Positions

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  • Internship (d/f/m) in Machine Learning & Multimodal AI

    Airbus Helicopters
    Donauwörth, Germany
    Found 1 month ago
  • Electrical Engineering/Physics/Computer Science Internship/Master Thesis Student (m/f/d)

    German Aerospace Center (DLR)
    Oberpfaffenhofen, Germany
    Found 3 weeks ago
  • PHY Systems Engineer – Demodulation Internship

    Apple
    Munich, Germany
    Found 1 month ago
  • Internship / Master Thesis Student in Electrical Engineering/Physics/Information Tech./etc. (ISAC)

    German Aerospace Center (DLR)
    Oberpfaffenhofen, Germany
    Found 1 month ago
  • Signal Processing Intern (f/m/d) for 3 months

    getzhealthcare
    Zipf, Austria
    Found 2 months ago
  • Duales Studium Elektrotechnik (B.Eng.) (m/w/d)

    TKMS ATLAS ELEKTRONIK GmbH
    Bremen, Germany
    Found 2 months ago
  • PhD student (d/f/m) in the field of Advanced Navigation Payloads

    Airbus
    Taufkirchen, Germany
    Found 2 months ago

Internship (d/f/m) in Machine Learning & Multimodal AI

Airbus Helicopters
Found 1 month ago
Location
Donauwörth, Germany
Duration (Months)
6 Months
Time
Full-time
Work Mode
Not disclosed
Salary
Attractive salary
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Machine Learning
  • Multimodal AI
  • TF-IDF
  • Random Forest
  • Deep Learning
  • LLM architectures
  • NLP
  • LLMs
  • Computer Vision
  • OCR
  • image processing
  • Scikit-learn
  • PyTorch
  • TensorFlow

Soft Skills

  • analytical skills
  • proactive approach
  • Cross-functional Collaboration
  • team meetings

Job Description

In order to support the Product Data Management department, Airbus Helicopters is looking for an Intern in Machine Learning & Multimodal AI (d/f/m) Are you looking for an internship and want to help shape the future of automated export control? Then apply now! We look forward to you supporting our team in Donauwörth.

Requirements

  • Enrolled full-time student (d/f/m) in Computer Science, Data Science, Mathematics, Physics, or a comparable field of study
  • Knowledge of Machine Learning (Scikit-learn) and Deep Learning frameworks (e.g., PyTorch, TensorFlow)
  • Experience with NLP, LLMs, and ideally Computer Vision (OCR/image processing)
  • Strong analytical skills and a proactive approach to work within a regulated environment
  • Proficient English skills (negotiation level); German knowledge is an advantage

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • German knowledge is an advantage
▶Apply Now

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