C
Csit
Data Engineer (Content Processing)
Skills
CybersecurityAI
2 months ago
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Important information
Contract type:
Permanent
Location:
Singapore
Work mode:
Onsite
Published on:
21 August 2026
What they need
- Data Pipeline Engineering: Architect, design, and maintain reliable, high-throughput pipelines that ingest, route, and process vast volumes of unstructured data. You will integrate AI models for automated data classification and information extraction, while ensuring latency and throughput meet mission-critical standards.
- Data Transformation & Enrichment: Develop and optimize transformation logic that parses complex content, implements chunking strategies, and generates high-quality vector embeddings for downstream retrieval. You will ensure data is enriched and structured for maximum analytical value.
- Hybrid Retrieval Systems: Build and support robust hybrid indexing systems that seamlessly combine high-speed keyword search with vector-based semantic search. You will engineer solutions that allow analysts to retrieve precise insights from enriched content instantly.
- Multimedia Processing: Engineer scalable solutions for video analysis and image recognition, integrating computer vision models to extract actionable metadata from diverse media formats within our data streams.
- Engineering Excellence: Uphold rigorous data quality and pipeline reliability standards while actively contributing innovative ideas to leverage AI for scaling operations. You will champion best practices in code quality, testing, and system observability.
- Cross-Functional Collaboration: Partner closely with frontend engineers, data scientists, and product managers to deliver seamless, high-performance data services that meet the rigorous needs of national security operations.
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