Senior AI / Data Science Engineer (m/w)
Tasks
- Apply NLP and text mining workflows
- Build RAG systems
- Create data pipelines for ETL and integration
- Develop algorithms for document identification and categorization
- Develop and implement LLM solutions
- Implement vector databases retrieval mechanisms
- Integrate relational and NoSQL data sources
- Optimize data source and model interfaces
- Train, evaluate, and optimize machine learning models
Perks/Benefits
- Company equipment
- Employee discounts
- Employer benefits
- Family support
- Flexible working hours
- Hybrid work model
- Paid time off
- Professional development
Skills/Tech-stack
CI/CD | Deep learning | Docker | Elasticsearch | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | MongoDB | Natural Language | Natural Language Processing | PostgreSQL | Python | Retrieval-Augmented Generation | Text Mining | Vector Databases
Education
N/A
Roles
AI Engineer | Data Scientist | Engineer | Scientist | Senior AI Engineer | Senior Data Scientist
Regions
Countries
States
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