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Working Student AI and Machine Learning for Industrial Data and NLP(m/w/x)
NLP model experimentation and structured data extraction from technical documentation and automotive sensor data. Solid Python skills and basic PyTorch or TensorFlow experience required. Flexible working hours, mobile work options.
Anforderungen
- Master's degree in Computer Science, AI, Data Science, Mathematics or related field
- Solid Python programming skills
- Basic experience with PyTorch or TensorFlow
- Interest in NLP and data-driven modeling
- Independent structuring of technical problems
- Good English communication skills
Aufgaben
- Implement and experiment with NLP models
- Analyze technical documents and extract structured information
- Develop machine learning models for industrial sensor data
- Perform data preprocessing and feature engineering
- Conduct model evaluations
- Prototype multimodal pipelines combining text and numerical data
- Work with real-world industrial datasets
- Support scalable data pipelines and AI deployment processes
- Collaborate directly with the project lead
- Apply AI solutions in a production-oriented environment
Ausbildung
Sprachen
Tools & Technologien
Benefits
Flexibles Arbeiten
- •Flexible working hours
- •Mobile work
Attraktive Vergütung
- •Attractive and fair compensation
Mentoring & Coaching
- •Comprehensive mentoring and onboarding
Sonstige Vorteile
- •Personal and professional development
- •Student apartments
- BMW GroupTeilzeitWerkstudentnur vor OrtMünchen
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Working Student AI and Machine Learning for Industrial Data and NLP(m/w/x)
NLP model experimentation and structured data extraction from technical documentation and automotive sensor data. Solid Python skills and basic PyTorch or TensorFlow experience required. Flexible working hours, mobile work options.
Anforderungen
- Master's degree in Computer Science, AI, Data Science, Mathematics or related field
- Solid Python programming skills
- Basic experience with PyTorch or TensorFlow
- Interest in NLP and data-driven modeling
- Independent structuring of technical problems
- Good English communication skills
Aufgaben
- Implement and experiment with NLP models
- Analyze technical documents and extract structured information
- Develop machine learning models for industrial sensor data
- Perform data preprocessing and feature engineering
- Conduct model evaluations
- Prototype multimodal pipelines combining text and numerical data
- Work with real-world industrial datasets
- Support scalable data pipelines and AI deployment processes
- Collaborate directly with the project lead
- Apply AI solutions in a production-oriented environment
Ausbildung
Sprachen
Tools & Technologien
Benefits
Flexibles Arbeiten
- •Flexible working hours
- •Mobile work
Attraktive Vergütung
- •Attractive and fair compensation
Mentoring & Coaching
- •Comprehensive mentoring and onboarding
Sonstige Vorteile
- •Personal and professional development
- •Student apartments
Über das Unternehmen
BMW Group
Branche
Automotive
Beschreibung
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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