📍 工作方式：混合辦公（以臺灣為主要工作地點，辦公室與遠端彈性安排）建構引領東南亞金融普惠未來的 AI 系統在 BJAK，我們致力於運用人工智慧解決真正有意義的問題 —— 從詐欺偵測、風險建模，到高度個人化的金融體驗，讓保險與金融服務更易取得、理解與負擔。我們正在尋找一位AI 技術負責人（Lead AI Engineer），常駐臺灣，成為我們打造下一代智慧系統的核心成員。本職位結合深厚的技術實力與團隊領導力，將直接向 AI 負責人匯報。你將親自撰寫生產級程式碼、制定技術策略、指導團隊成員，並協助建立一支高效、靈活、世界級的 AI 團隊。為什麼這個職位重要設計並部署面向數百萬用戶的核心 AI 系統成為 AI 負責人的最佳助手，推動技術執行與工程標準落地指導與培育團隊工程師，提升整體技術實力扮演招募與擴建高績效 AI 團隊的關鍵角色工作內容設計、構建並交付生產級 ML 模型，聚焦高價值應用場景主導模型架構設計、資料管道規劃與部署策略與產品、工程與資料團隊協作，推動 AI 專案落地主導機器學習全流程：資料準備、訓練、部署與監控稽核程式碼、指導專案並協助解決技術挑戰推廣實驗文化與最佳實務，推動團隊持續學習與成長參與招募流程與技術面試，協助人才甄選與團隊建構掌握 AI/ML 前沿技術並推動落地應用於產品中你適合這個職位如果你...以身作則 - 你親自寫程式，也提升整個團隊有主人翁心態 - 不等指令，主動解決問題快速且深入 - 做出速度與品質兼具的決策在混亂中創造結構與明確性聚焦於真實商業價值，而非僅是學術指標樂於培養人才並看見他人成長擅長應對變動與不確定性擁有 Builder 心態，喜歡快速原型與反覆迭代不斷自我提升，技術、產品、領導力持續精進任職資格資訊工程、軟體工程、電腦科學等相關領域學士或碩士學歷4–6 年 AI／ML 工程經驗，具備實際生產環境模型部署實績精通 Python，熟悉 TensorFlow、PyTorch、Scikit-learn 等主流程式庫深刻理解 ML 生命周期，包括資料處理、訓練、驗證與監控熟悉推薦系統、詐欺偵測、風控建模、NLP 等應用場景具備技術領導與工程師 mentoring 經驗優秀的跨部門溝通與團隊協作能力常駐臺灣，並可與東南亞團隊進行遠端協作加分條件熟悉 MLflow、Airflow、Docker、GCP / AWS 等 MLOps 工具了解 Responsible AI 實踐（公平性、可解釋性、模型治理）有新創或快速成長團隊工作經驗有建置內部 AI 工具平台或可重用模型模組的經驗你將獲得具競爭力的薪資與績效獎金彈性混合辦公制度（臺灣地區可遠距與進辦公室彈性搭配）高度自主與區域影響力，參與關鍵產品決策直接向 AI 負責人匯報，參與高層技術規劃領導一支快速成長的 AI 工程團隊快速的職涯晉升與技術成長機會扁平、協作導向的文化，創意快速落地、貢獻被看見關於 BJAKBJAK 是東南亞最大的數位保險平台，服務數百萬用戶，致力於提供透明、可負擔的金融保障。我們總部設於馬來西亞，並於泰國、臺灣、日本設有據點。我們透過 AI、自動化與智慧 API 打造創新的保險科技系統，簡化複雜的金融流程，讓服務更便捷、公平且普及。如果你準備好打造真正有影響力的 AI 系統，並在一個高速、務實又富有使命感的團隊中發光發熱，歡迎你加入我們！📍 Working Arrangement: Hybrid (based in Taiwan with a mix of office and remote work flexibility)Shape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Lead AI Engineer based in Taiwan to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production-grade code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.Why This Role MattersYou’ll design and deploy core AI systems that serve millions across the regionYou’ll be the right hand to the Head of AI — driving execution and setting engineering standardsYou’ll mentor and lead junior engineers to elevate overall team capabilityYou’ll play a key role in scaling and hiring a high-performance AI teamWhat You’ll DoDesign, build, and ship production-grade ML models for critical business use casesLead architecture for models, data pipelines, and deployment strategyCollaborate across product, engineering, and data teams to drive AI implementationOwn the end-to-end ML lifecycle: data prep, training, deployment, and monitoringReview code, guide projects, and support the team through technical challengesPromote best practices, experimentation, and continuous learning cultureConduct interviews and contribute to hiring decisionsStay up to date with AI/ML innovations and apply them to real-world productsYou’ll Thrive Here If You...Lead by example — you write code, mentor others, and raise the barThink like an owner — you solve problems without waiting for permissionMove fast and with depth — you deliver quickly and make smart trade-offsBring clarity to ambiguity — you create structure and direction amid chaosFocus on outcomes — you care about product impact, not just research metricsLove developing people — you coach, mentor, and celebrate others’ growthAdapt fast — changing priorities and uncertainty energize youHave a builder’s mindset — prototype quickly, iterate constantlyLearn relentlessly — you're always sharpening your tech and leadership skillsRequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field4–6 years of hands-on experience in AI/ML engineering with real-world deployment experienceProficient in Python and familiar with ML frameworks such as TensorFlow, PyTorch, or Scikit-learnStrong grasp of end-to-end ML lifecycle: data pipelines, training, validation, monitoringExperience in applied AI domains (e.g., recommendations, fraud, risk modeling, NLP)Proven track record of technical leadership and mentoringExcellent communication and cross-functional collaboration skillsMust be based in Taiwan and open to hybrid collaboration with international teamsNice to HaveExperience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI practices (e.g., fairness, interpretability, governance)Background in fast-paced startups or scale-up environmentsExperience building internal AI platforms or reusable ML modulesWhat You’ll GetCompetitive salary and performance-based bonusesHybrid work model with flexibility to work remotely or on-site in TaiwanHigh ownership role with regional product impactDirect line to the Head of AI and visibility with senior leadershipOpportunity to lead a rapidly growing AI engineering teamFast career growth and technical learning curveFlat and fast-moving culture where great work gets noticedAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with affordable and transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we build AI-driven systems to make complex financial services more accessible, fair, and fast.We believe in practical innovation — from personalized pricing engines to intelligent automation and fraud detection, our AI helps reshape the financial experience for everyone.If you're ready to build and lead AI systems that matter — and grow with a team that moves fast and thinks boldly — we’d love to hear from you.
