Related skills
python genai embeddings📋 Description
- Architect GenAI data platforms for ingestion, transformation, enrichment, and serving.
- Design scalable pipelines for knowledge ingestion from documents, SaaS, and databases.
- Define metadata extraction, chunking, enrichment, embeddings, and prep workflows.
- Design AI ready data models and storage for vector, graph, and hybrid knowledge systems.
- Architect scalable unstructured data processing pipelines for text, images, PDFs, tables, and multimodal content.
🎯 Requirements
- Expert level Python programming and software engineering.
- Experience building distributed, scalable data pipelines for AI workloads.
- Strong understanding of unstructured data extraction and processing pipelines.
- Experience with vector databases, graph databases, and metadata knowledge storage.
- Hands on with clustering, entity recognition, and retrieval strategies such as RAG and search.
🎁 Benefits
- Health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks
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