Principal GenAI Data Engineer
Tasks
- Architect GenAI data ingestion pipelines
- Build knowledge preparation pipelines
- Design AI ready data models and storage strategies
- Design data transformation and enrichment workflows
- Develop unstructured processing pipelines for text images PDFs tables
- Extract metadata from unstructured content
- Implement distributed scalable data pipelines for AI workloads
- Implement embeddings generation workflows
- Serve vector graph and hybrid knowledge systems
Perks/Benefits
Skills/Tech-stack
Arize Phoenix | Clustering | CrewAI | Data Engineering | Data Ingestion | Data Processing | Data Transformation | Distributed Systems | Embeddings | Entity recognition | GenAIOps | Graph Databases | Knowledge graphs | LLMOps | Langgraph | Langsmith | Language Processing | MLflow | Metadata Extraction | Multimodal Processing | Natural Language | Natural Language Processing | PDF Processing | Python | RAG | Unstructured Data | Unstructured Data Processing | Vector Databases | Vector Representation | Vector Search | Vector indexing | Weigths and Biases
Education
N/A
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