📍 工作安排：台灣（混合辦公 - 可居家工作並配合辦公室協作）建構讓金融服務更簡單、更智慧、更普惠的 AI 系統在 BJAK，我們致力於運用人工智慧，讓數百萬東南亞用戶能更輕鬆地接觸、理解並負擔保險與金融服務。作為一名 AI軟體工程師，你將參與打造驅動這一使命的核心智慧系統——涵蓋個人化推薦、詐欺偵測、自動化處理與智慧搜尋等功能。本職位採混合辦公模式，主要工作地點在臺灣，並與馬來西亞總部及東南亞地區的跨部門團隊密切合作。你將加入一個高效率、扁平化的工程團隊，在這裡，你的執行力與創意將每天影響真實世界的產品成果。為什麼這個職位至關重要你將直接提升用戶體驗、系統效率與平台智慧程度你將參與建構可支援數百萬用戶的 AI 生產系統跨部門合作，從零打造可擴展的機器學習工具與流程在快速、精實、具影響力的工程文化中快速成長你的工作內容與產品、資料與工程團隊協作，定義機器學習目標與技術策略設計、開發並部署用於個人化推薦、自動化處理與洞察生成的 ML 模型負責完整 ML 開發流程：資料前處理、特徵工程、模型訓練、評估與部署建構可擴展的機器學習基礎架構與部署管線將模型成果整合至用戶端產品與後端系統中持續追蹤 AI／ML 技術趨勢，並導入於現有技術堆疊參與生產環境中模型的除錯、測試與效能優化如果你具備以下特質，會在這裡如魚得水全權負責，致力於讓模型真正產生商業與用戶價值主動學習，即使缺乏明確說明也能快速上手與推進擁有快速迭代的執行力，能適應節奏快速、資源精簡的環境從混亂中找出問題本質，並追求從頭到尾的解決方案注重團隊合作，謙虛、樂於分享、能提升整體團隊水平熱愛學習、擅長知識傳遞，樂於在成長過程中幫助他人一同提升任職條件擁有電腦科學、資料科學、工程或相關技術領域之學士／碩士學位2-4 年機器學習或後端軟體開發經驗精通 Python，並熟悉常用框架如 TensorFlow、PyTorch 或 Scikit-learn對 ML 開發流程有紮實理解：資料清理、模型開發、參數調校、效能評估熟悉模型部署、API 開發，或在實際業務場景中的整合應用熟悉 Google Colab、Jupyter Notebook 或雲端機器學習平台具備優秀的分析思維、問題解決能力與跨團隊溝通能力需常駐臺灣，並能配合遠端、跨時區協作模式加分條件有自然語言處理（NLP）、電腦視覺或推薦系統相關經驗熟悉 AWS、GCP、Azure 等雲端平台熟悉 Docker、Git、CI/CD 自動化流程有新創團隊或敏捷開發經驗者佳你將獲得具競爭力的薪資與績效獎金靈活的工作安排直接參與影響數百萬用戶的產品開發扁平化管理結構，意見被聽見、貢獻被看見快速的個人成長與技術學習機會跨國協作機會，深入參與東南亞多國市場📍 Working arrangement: Taiwan (Hybrid)Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Senior AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.This role based in Taiwan, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field2 - 4 years of experience in machine learning or backend software developmentStrong Python skills, with experience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with cloud services (e.g., AWS, GCP, Azure)Exposure to Docker, Git, or CI/CD toolsBackground working in a high-growth startup or agile product environmentWhat You’ll GetCompetitive salary and performance-based bonusesFlexible work arrangementDirect impact - your work reaches millions of users across AsiaFlat structure - your voice is heard, your contributions are seenOpportunities for rapid personal and technical growthRegional exposure and collaboration across Southeast AsiaAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.
