Internship – AI and Domain-aware Audio Processing

ABB

Internship role focusing on AI and domain-aware audio processing tasks at ABB. Experience opportunities in audio processing, data collection, and documentation.

Posted 7/15/2026internshipMannheim • 🇩🇪 GermanyEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in audio processing, natural language processing, and data handling, with a strong foundation in Python programming and machine learning concepts. Capable of creating domain-specific terminology databases and validating AI model performance through rigorous testing and documentation.

Highest-signal resume keywords

Python ProgrammingNatural Language ProcessingAudio Processing LibrariesMachine Learning ConceptsData Collection and Annotation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingNatural Language ProcessingAudio ProcessingData CollectionData AnnotationMachine LearningText ProcessingVersion Control (Git)Agile MethodologiesTerminology Management

Tools & Technologies

SpaCyNLTKHugging FaceLibrosaPyAudio

Industry Keywords

Data ScienceComputer ScienceSoftware EngineeringChemical EngineeringLarge Language ModelsIndustrial ProcessesManufacturing

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Audio processing tasks: Working with audio files, implementing preprocessing techniques, and experimenting with transcription methods
Domain alignment: Creating and organizing domain-specific terminology databases, including synonyms, informal expressions, and contextual variations
Data collection and annotation: Gathering and labeling linguistic data to support AI model training and validation
Testing and evaluation: Implementing validation methods to assess the quality and effectiveness of developed solutions
Documentation: Clearly documenting code, methodologies, and experimental results

Requirements

What you’ll need

Currently pursuing a Master’s degree in Data Science, Computer Science, Software Engineering, or Chemical Engineering
Programming experience in Python
Basic understanding of machine learning and natural language processing concepts
Knowledge of NLP frameworks and tools (e.g., spaCy, NLTK, Hugging Face)
Experience with Large Language Models or language model APIs
Familiarity with data handling and text processing
Ability to work with structured and unstructured data
Practical exposure to industrial processes (e.g., previous internship in manufacturing / chemical industry)
Experience with audio processing libraries (e.g., librosa, PyAudio)
Exposure to version control systems (Git)
Experience with agile working methods
Multilingual background or experience with terminology management
Previous internship or project experience in AI or data science

Benefits

Comp & perks

Flexible working arrangements
Professional development opportunities