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Principal Data Engineering Architect
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Full-time
- The successful candidate must be a hands-on person with proven ability to engage in innovative technology environments that embrace machine learning and AI as well as public cloud, open-source technologies and agile environments for document classification, ingestion, enrichment workflows.
- Lead data engineering architecture design and implementation to extract and ingest valuable data from structured & unstructured data sources, harnessing cloud, data and AI technologies to make data-driven decisions more accurate and efficient.
- Develop and deploy hybrid cloud stack document AI solutions, including OCR, NLP, entity recognition, and information extraction in a production environment.
- and familiarity with relevant frameworks and libraries for AI and big data, such as TensorFlow, Apache Spark, Databricks or Snowflake.
- Develop and execute a data engineering architecture for document AI engineering projects to streamline documentation classification, extraction, enrichment workflows, reducing manual efforts, and improving efficiency.
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