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Krafton
Sr. AI Data Pipeline Specialist (7년 이상)
SeoulPosted 1 month ago
What you'd do
- Analyze enterprise data sources and design AI-optimized data pipeline architectures for LLM and RAG systems
- Research and establish preprocessing methodologies for large-scale unstructured data including wikis and Slack
- Define data quality monitoring metrics and governance standards for pipeline integrity
What they want
- 7+ years of professional experience in data engineering or related fields
- Proficiency in Python and SQL with ability to independently design and execute data pipeline architecture
- Deep understanding of cloud-based data systems on AWS or GCP
Nice to have
- Experience with LLM and RAG system data preprocessing and Vector DB such as Milvus or Pinecone
- Experience collecting and parsing large-scale unstructured data from Confluence,Slack,or internal documents
- Experience building a new data platform from zero to one in a startup or greenfield environment
Seoulstart's read
- Visa tier (likely)
- No sponsorship typically needed
- Korean language
- Native Korean fluency required
- English friendliness