Internship in Natural Language Processing Named Entity Recognition
Internship in Natural Language Processing Named Entity Recognition
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Job Description
- Contribute your knowledge of Machine Learning (ML) with a focus on transformer models in the field of Natural Language Processing (NLP) including LLMbased translation to English and Named Entity Recognition (NER) in the context of industrial applications and become part of an innovative young and agile team.
- As part of your internship you will take over and maintain an existing Machine Learning program for the anonymization of departmentinternal data and further develop it potentially supporting the integration of LLMbased translation for multilingual data handling.
- The program is based on a Transformer model (NER) and is trained with a proprietary data generator.
- You will ensure that our ML models are accessible in an Azure Cloud environment as a service through pipelines.
- In addition you will work closely with the team and advanced interfaces to ensure that your topics are technically documented and information is quickly shared within the company.
- You will largely independently and actively shape your activities.
- The exact areas of responsibility will be flexibly adapted to your experience wishes and abilities over the course of your internship.
Qualifications :
- Education: studies in the field of Computer Science Computer Linguistics Data Science or comparable with advanced studies
- Experience and Knowledge: with transformer models with natural language processing (NLP) and named entity recognition (NER) knowledge in Python and MLlibraries such as PyTorch Prompt engineering some experience with cloud environments preferably Azure and Databricks
- Personality and Working Practice: a reliable individual with a structured and responsible work ethic
- Languages: very good in German and English
Additional Information :
Start: according to prior agreement
Duration: 6 months
Requirement for this internship is the enrollment at university. Please attach your CV transcript of records enrollment certificate examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need further information about the job
Oliver Maus (Functional Department)
You can also find more information about us at ;and on our social media channels for example Instagram.
Move with us. Win together.
#LIDNI
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
