ApplySarthi顧問類(台北)-顧問/資深顧問 (AI/ML模型建置)(金融業)
Pwc
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8,479 open AI roles across 1,225 companies are on ApplySarthi right now, most of them in Bengaluru (498), Hyderabad (157), Pune (82).
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What AI roles keep asking for: Python (43%), LLMs (39%), Machine learning (25%), AWS (24%), Generative AI (23%), Observability (19%), RAG (16%), Azure (16%) — counted across their open postings here.
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Counted across 14 company job boards, updated as roles open and close.
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Questions you are likely to be asked
- Why do you want to join Pwc?
- What is your experience with Generative AI? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the 顧問類(台北)-顧問/資深顧問 (AI/ML模型建置)(金融業) at Pwc interview free →Job Description & Summary 你是否準備好，將頂尖的 AI/ML 技術轉化為金融業的真實影響力？ 我們正在尋找一位經驗豐富的 AI/ML 專家，你將不只是一位技術執行者，更是客戶信賴的策略夥伴。你將帶領團隊，從商業挑戰的核心出發，設計並交付高品質的 AI 解決方案，驅動金融客戶的數位轉型與創新，並在市場中建立關鍵競爭優勢。 此職位需運用生成式AI（Gen AI）及機器學習（ML）技術，協助金融產業客戶解決業務挑戰、提升作業效率與優化決策流程。 我們期待您能將 AI／ML 技術應用於實際金融商業場景，協助客戶在數位轉型浪潮中保持競爭力、加速創新、並提升營運效能。 工作內容： 數據處理與模型建置: 釐清客戶核心需求，將商業問題轉化為 AI／ML 解決方案，應用於金融業務場景。 建置及優化機器學習模型（如：信用風險、推薦系統、異常偵測等），並進行模型驗證與效能調校，確保模型的穩健性與準確性。 運用 Gen AI 技術（如：LLM 微調、RAG 架構、Prompt Engineering）開發與優化生成式 AI 應用。 研究與導入AI、Machine Learning相關技術與工具。 商業洞察與報告呈現： 透過數據視覺化工具，呈現分析結果與模型輸出，提供客戶具體分析成果與建議。 協助其他主管交辦事項，彈性支援團隊內的其他分析或專案需求。 背景／能力要求 具備 5 年以上 AI/ML 相關專案經驗，並有主導或獨立完成專案的實績。 擁有深厚的 Python/R/SAS 編程與數據處理能力。 熟悉主流機器學習框架及 Gen AI 應用（如 LLM 微調、RAG 架構）。 擁有將技術成果轉化為商業洞察，並對客戶或內部決策者進行有效溝通的經驗。 你將具備的特質 策略思維與商業敏銳度：你不只看見技術，更能洞察其背後的商業價值，並為客戶提供策略性建議。 影響力與領導力：你善於引導團隊、啟發他人，並能與客戶建立信任，共同推動專案成功。 為什麼選擇 PwC？ 在 PwC，我們致力於協助你持續成長、走得更遠。我們的人才價值主張代表你將能： 參與具影響力的專案，為企業與社會創造改變 持續投入學習、導師制度與職涯發展 在鼓勵創新與重視想法的文化中發揮所長 在重視多元與共融的環境中工作，讓每個人都能被看見與被尊重 下一步 如果你準備好在PwC展開職涯並創造實質影響，我們期待你的加入。 👉 立即申請，踏出在 PwC 發展的第一步。 Grow here. Grow further.
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Listed on workday · posted 2026-10-13. ApplySarthi collects openings and links to application pages; the role is advertised by Pwc, not by us.