面議(經常性薪資達4萬元或以上) 台北市松山區 2年工作經驗 今天剛更新
1. 建立高效率、可擴展與可自動化的 AI/GAI 金融服務架構。
2. 設計使用者需求目標導向的資料建模、ETL及驗證 (Relational and Graph)
3. 實踐容器化技術 (Docker, K8S) CI/CD開發維運流程
加分項目:
A. GAI/LLM 雲地端服務建置經驗,如模型微調、Agentic 開發
B. AI 建模經驗,如使用:機器學習 / 深度學習 / 強化學習技術
C. Graph資料庫 (Neo4j) 設計開發經驗,如:知識圖譜、Graph-based RAG
D. AI /Data Governance治理經驗,如流程管理、模型驗證等
1.Design and build scalable, highly efficient, and automated AI/Generative AI architectures for financial services.
2.Develop business-driven data models and design ETL processes, validation frameworks, and data solutions using relational and graph databases.
3.Implement containerized development and operations practices using Docker, Kubernetes, and CI/CD pipelines.
Preferred Qualifications
1.Experience deploying and managing Generative AI/LLM solutions in cloud and on-premises environments, including model fine-tuning and agentic AI development.
2.Hands-on experience with AI/ML technologies, including machine learning, deep learning, and reinforcement learning.
3.Experience designing and developing graph database solutions (e.g., Neo4j), knowledge graphs, and Graph-based RAG applications.
4.Experience in AI or Data Governance, including process management, model validation, and governance frameworks.
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