Internship in Machine Learning Research

During your internship you will participate in ongoing research and development projects focused on AI including Machine Learning (ML) Deep Learning (DL) Generative AI (GenAI) and Agentic AI.

You will engage in hands-on AI projects applying ML DL and GenAI techniques to solve complex problems.

Furthermore you will fine-tune (both AI and GenAI-based) models to optimize performance.

In addition you will explore agent orchestration through MCP and A2A and model deployment on cloud and edge.

Your task includes collaborating with the team to understand project requirements contributing innovative solutions developing and optimizing algorithms and models in Python.

Last but not least you will document and present findings and progress to the team and stakeholders.

Qualifications :

Education: Master studies in the field of Computer Science Information Systems AI or comparable

Experience and Knowledge: excellent coding skills with proven proficiency in Python; strong foundation in AI including ML DL and GenAI; experience in GenAI application development

Personality and Working Practice: you are a self motivated and collaborative individual with a passionate for technology

Work Routine: mandatory in-office presence for four days a week

Enthusiasm: affinity for Information Technology or Generative AI

Languages: good in German and English

Additional Information :

Start: according to prior agreement

Duration: 6 months (confirmation of mandatory internship required)

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

Sree Raghu Nandan (Functional Department)

49

#LI-DNI

Remote Work :

No

Employment Type :

Full-time