Praktikant*in Data Science im Bereich BigData Antriebe (Pflicht-Praktikum)
Tasks
- Build agents with LangChain or LlamaIndex
- Build and maintain modular ETL pipelines
- Conduct AI ML technology scouting
- Create automated tests and deployments
- Create dashboards and KPIs
- Deliver knowledge transfer
- Develop MCP servers as tool and data source interfaces
- Document technical work
- Evaluate and visualize data
- Implement RAG pipelines for domain knowledge
- Integrate tools into agents
- Onboard new data sources
- Perform data quality checks
- Perform literature research
- Prototype and run benchmarks
- Set up CI CD for ETL and agents
- Summarize findings
Perks/Benefits
- Barrier free access
- Canteen cafe
- Child care
- Coaching
- Company doctor
- Company pension scheme
- Employee discounts possible
- Employee events
- Employee mobile phone possible
- Employee participation possible
- Flexible working hours
- Food allowance
- Good transport connection
- Health measures
- Hybrid work possible
- Mobility offers
- Parking
Skills/Tech-stack
API Development | Azure DevOps | CI/CD | Data Quality | Data Quality Checks | Databricks | Databricks Dashboards | Docker | ETL | Error Handling | FastAPI | Flask | GitHub Actions | JSON Schema | LLM memory | Langchain | Llamaindex | MCP | Pandas | Plotly | Power BI | Prompt engineering | PySpark | Python | Quality checks | RAG | SQL | Seaborn | Tool integration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Science | Data Science Intern | Intern | Science Intern
Regions
Countries
States
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