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Cake Recruitment Consulting

Cake Recruitment Consulting
Cake Recruitment Consulting
Jobs
The employer was active 4 minutes ago
Design, build, and deploy scalable, production-ready AI applications, bridging solid software engineering with advanced machine learning, often focusing on LLMs, RAG, and MLOps.Mentor junior engineers and lead architecture for complex systems from data to deployment.Develop high-quality code that aligns with business objectives, quality standards, and secure development practices.Collaborate with a global AI engineering team to understand and analyze business requirements.Execute assigned tasks diligently, ensuring consistent progress.Work closely with business and technical teams to identify improvements and prioritize user stories.Provide regular progress updates during daily standup meetings.Adapt to shifting priorities while maintaining project timelines and momentum.
Design, build, and deploy scalable, production-ready AI applications, bridging solid software engineering with advanced machine learning, often focusing on LLMs, RAG, and MLOps.Mentor junior engineers and lead architecture for complex systems from data to deployment.Develop high-quality code that aligns with business objectives, quality standards, and secure development practices.Collaborate with a global AI engineering team to understand and analyze business requirements.Execute assigned tasks diligently, ensuring consistent progress.Work closely with business and technical teams to identify improvements and prioritize user stories.Provide regular progress updates during daily standup meetings.Adapt to shifting priorities while maintaining project timelines and momentum.
Taipei City, Taiwan
Negotiable
5 years of experience required
No management responsibility
Apply
Apply
1. AI解決方案:提出AI解決方案,解決(優化)業務流程中的痛點,並研究金融科技應用AI技術的機會點,提供AI創新應用的建議。 2. 數據整合、清理與分析:負責數據的整合、轉換、清理、標準化與特徵工程,提高數據品質,為後續的數據分析、AI 模型與 LLM 的訓練及微調奠定良好基礎。 3. AI應用開發與部署:參與金融領域的AI (ML / LLM / Vision / Voice) 應用開發、測試與部署,例如:AI Agent、風險預測、文本分析、資訊摘要、商品推薦等。 4. MLOps與AI治理:分析AI應用成效,並以MLOps管理AI生命週期,持續迭代AI模型與優化AI應用。
1. AI解決方案:提出AI解決方案,解決(優化)業務流程中的痛點,並研究金融科技應用AI技術的機會點,提供AI創新應用的建議。 2. 數據整合、清理與分析:負責數據的整合、轉換、清理、標準化與特徵工程,提高數據品質,為後續的數據分析、AI 模型與 LLM 的訓練及微調奠定良好基礎。 3. AI應用開發與部署:參與金融領域的AI (ML / LLM / Vision / Voice) 應用開發、測試與部署,例如:AI Agent、風險預測、文本分析、資訊摘要、商品推薦等。 4. MLOps與AI治理:分析AI應用成效,並以MLOps管理AI生命週期,持續迭代AI模型與優化AI應用。
Taipei City, Taiwan
Negotiable
5 years of experience required
No management responsibility
Apply
Apply