Data Engineer (Content Processing)
Tasks
- Apply testing and system observability best practices
- Architect high throughput data pipelines for unstructured data
- Build vector embeddings generation pipelines
- Collaborate with frontend engineers data scientists and product managers
- Develop hybrid keyword and vector search indexes
- Engineer computer vision solutions for image and video analysis
- Ensure data quality and pipeline reliability
- Implement data transformation and enrichment for retrieval
Perks/Benefits
Skills/Tech-stack
CI/CD | Computer Vision | Docker | ELT | ETL | Hybrid search | Kubernetes | LLM integration | Language Processing | Natural Language | Natural Language Processing | Python | SQL | Semantic Search | Text Chunking | Vector Databases | Vector embeddings
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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