資深AI軟體工程師 AI Senior Software Engineer

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。作為一名資深 AI／機器學習軟體工程師，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。

• 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

• 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

• 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

• 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

• 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

• 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

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Working arrangement: Taiwan (Hybrid)

At 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.

• Your work will directly impact user experience, efficiency, and platform intelligence

• You’ll contribute to production-grade AI systems that serve millions

• You’ll collaborate across functions and build scalable ML tools from the ground up

• You’ll grow quickly in a lean, high-impact engineering environment

• Work with product, data, and engineering teams to define ML goals and technical strategies

• Design, build, and deploy machine learning models that power personalization, automation, and insight generation

• Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment

• Build scalable ML infrastructure and deployment pipelines

• Integrate ML outputs into user-facing products and backend systems

• Stay current with AI/ML trends and apply relevant innovations into our stack

• Contribute to debugging, testing, and optimization of production ML systems

• Take full ownership - you don’t just build models, you make sure they drive real-world results

• Are a self-starter who figures things out fast, even when there’s no manual or roadmap

• Move with urgency - you adapt quickly, ship fast, and improve even faster

• Own problems end-to-end - from messy data to deployment, and everything in between

• Bring a team-first attitude - you’re humble, helpful, and raise the bar for those around you

• Push through chaos - startup pace, shifting priorities, and ambiguity don’t throw you off

• Learn obsessively and share openly - you level up fast and help others do the same

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field

• 2 - 4 years of experience in machine learning or backend software development

• Strong Python skills, with experience using frameworks like TensorFlow, PyTorch, or Scikit-learn

• Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation

• Familiar with model deployment, API development, or real-world ML integration

• Experience with tools like Google Colab, Jupyter, and cloud ML platforms

• Strong analytical, problem-solving, and communication skills

• Experience with NLP, computer vision, or recommendation systems

• Familiarity with cloud services (e.g., AWS, GCP, Azure)

• Exposure to Docker, Git, or CI/CD tools

• Background working in a high-growth startup or agile product environment

• Competitive salary and performance-based bonuses

• Flexible work arrangement

• Direct impact - your work reaches millions of users across Asia

• Flat structure - your voice is heard, your contributions are seen

• Opportunities for rapid personal and technical growth

• Regional exposure and collaboration across Southeast Asia

BJAK 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.