Internship in Natural Language Processing / Named Entity Recognition
Job Description
- During your internship, you will become part of an innovative and agile team and contribute your knowledge of Machine Learning (ML) with a focus on transformational models in the field of Natural Language Processing (NLP) and Named Entity Recognition (NER) in the context of industrial applications.
- You will take over, maintain and further develop an existing machine learning program for anonymizing internal departmental data.
The program is based on a transformer model (NER) and is trained with a proprietary data generator.
- Furthermore, you will secure that our ML models are accessible as a service via pipelines in an Azure cloud environment.
- You will work closely with the team and advanced interfaces to ensure your issues are technically documented and information is shared quickly across the organization.
- Finally, you will work largely independently and actively. The exact areas of responsibility will be flexibly adapted to your experience, wishes, and abilities during your internship.
Qualifications
- Education : studies in the field ofComputer Science, Data Science or comparable with advanced basic studies
- Experience and Knowledge : inTransformer models with Natural Language Processing (NLP) and Named Entity Recognition (NER);
Python and ML libraries such as PyTorch; some experience with cloud environments, preferably Azure and Databricks
- Personality and Working Practice : a person withstructured and responsible work ethic
- Languages : 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)
49 731 49373 445
LI-DNI
You can find more information about us at and on our social media channels, for example our .
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