AI 模型工程師（AI Model Engineer – Manufacturing Intelligence)

[工作職責｜Key Responsibilities]
我們正在尋找一位具備實務經驗的 AI 專家，能夠帶領機器學習模型的開發與應用，結合多元數據（如系統運作資訊與場域污染監測），解決各種預測挑戰。此職位需與跨部門團隊密切協作，並可能直接對接客戶進行實場應用。
主要工作包括：

• 開發與部署混合型機器學習模型（例如 Physics-Informed ML），模擬與預測氣流、熱傳與污染擴散等時變現象
• 整合感測器實測資料與模擬資料，訓練高效能預測模型
• 實作即時資料串流與模型動態更新機制
• 提供系統控制策略、參數最佳化建議，或與客戶共同建置數位分身模型（Digital Twin）
• 跨團隊合作推動模型從研發到落地應用

We are seeking a hands-on AI Specialist who can lead the development and deployment of machine learning models based on operational or environmental data. The ideal candidate will collaborate across teams and, where needed, work directly with customers to implement predictive solutions in real-world settings.
Key responsibilities include:

• Develop and deploy hybrid ML models (e.g., Physics-Informed ML) for time-dependent simulations of airflow, heat transfer, and pollution dispersion
• Integrate measured and simulation-generated data to train models across various environments
• Enable real-time prediction updates by linking sensor data
• Provide system control optimization insights or co-build digital twin models with clients
• Collaborate with interdisciplinary teams to implement and validate models in operational settings

[任職資格｜Qualifications]
學歷與專業背景｜Education & Technical Background

• 碩士或博士，主修機械工程、化學工程、能源工程、航空航太、環境工程或相關理工領域
• Master’s or PhD degree in Mechanical Engineering, Chemical Engineering, Energy Engineering, Aerospace, Environmental Engineering, or related fields

[核心技能｜Core Competencies]

• 熟悉混合型機器學習技術（如 Physics-Informed ML、代理模型、解偏微分方程 AI）
• Proficient in hybrid ML techniques (e.g., Physics-Informed ML, surrogate modeling, AI-based PDE solvers)
• 精通 Python，熟悉 PyTorch 或 TensorFlow
• Strong programming skills in Python; proficient in PyTorch or TensorFlow
• 熟悉 MATLAB、C++，具資料視覺化能力
• Experience with MATLAB, C++, and data visualization
• 熟悉 CFD 模擬與流場建模者佳
• Knowledge of CFD simulation and fluid dynamics modeling is a plus