Develop Python-based extraction and validation pipelines for document processing and warranty claim workflows.
Implement Elasticsearch keyword and vector retrieval using embeddings, semantic search, and market-specific and historical data filters.
Create evaluation datasets and quality metrics to assess extraction and retrieval accuracy.
Collaborate with Ford domain experts to establish confidence handling, evidence attribution, and regression criteria.
Apply validation methods to reduce hallucinations and maintain evidence-backed AI outputs.
Deploy and monitor AI services on Google Cloud Run, integrating with BigQuery and model APIs.
Implement controlled feedback mechanisms, automated testing, and reproducible configurations while maintaining technical documentation and following secure engineering practices.
Use Spec Kit and approved AI-assisted engineering tools while retaining responsibility for secure code, automated tests, and documentation.
India
USA
All
