AI/ML Data Engineer | Unstructured Data, PySpark, Python, Vector Search, RAG Architectures, Cloud (GCP/AWS) Apply Logo (6+)
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Build and maintain scalable, robust data pipelines for unstructured content, ensuring high data quality and performance efficiency
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Develop algorithms for document classification, cleansing, and enrichment to feed AI/ML systems
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Integrate data workflows with LLM pipelines supporting RAG architectures for semantic search and Question-Answering (QA) systems
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Engineer and optimize vector embeddings, document chunking, and metadata tagging for AI applications
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Collaborate closely with AI architects, data scientists, and platform teams to design end-to-end AI solutions
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Implement automation, monitoring, and security best practices to ensure system reliability and compliance
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Support project lifecycle activities, including proof-of-concept, testing, deployment, and ongoing monitoring
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Share domain expertise, conduct knowledge sharing, and mentor team members
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