Related skills
machine learning distributed systems data pipelines observability reliability engineeringπ Description
- Own the architecture of our large-scale data extraction and normalization platform.
- Design systems processing 100k+ records across PDFs/HTML/APIs/XLS with reliability.
- Minimize human validation via AI checks, confidence scoring, provenance, safeguards.
- Establish contracts for correctness, traceability, and confidence.
- Balance AI with rules-based systems for reliability and explainability.
- Lead architecture decisions, block poor designs, drive platform evolution.
π― Requirements
- 15+ years building/operating large-scale production systems.
- Experience designing data ingestion, extraction, processing at scale.
- Distributed systems expertise.
- Data platforms and pipelines.
- AI/ML-powered extraction or classification.
- Platform/infrastructure engineering; Nice to have NLP/document understanding, cloud-native.
π Benefits
- Equity may be offered
- Generous benefits program
- Remote-friendly work environment
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