創始 AI 技術負責人 Founding Lead AI Engineer

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
創始AI 技術負責人(Founding 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
• 必須具備熟練的 Python 技能
• 4–6 年 AI/ML 工程經驗,具備實際生產環境模型部署實績
• 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 BJAK

BJAK 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 Asia

At
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 Matters

• You'll design and deploy core AI systems that serve millions across the region
• You'll be the right hand to the Head of AI — driving execution and setting engineering standards
• You'll mentor and lead junior engineers to elevate overall team capability
• You'll play a key role in scaling and hiring a high-performance AI team

What You'll Do

• Design, build, and ship production-grade ML models for critical business use cases
• Lead architecture for models, data pipelines, and deployment strategy
• Collaborate across product, engineering, and data teams to drive AI implementation
• Own the end-to-end ML lifecycle: data prep, training, deployment, and monitoring
• Review code, guide projects, and support the team through technical challenges
• Promote best practices, experimentation, and continuous learning culture
• Conduct interviews and contribute to hiring decisions
• Stay up to date with AI/ML innovations and apply them to real-world products

You'll Thrive Here If You...

• Lead by example — you write code, mentor others, and raise the bar
• Think like an owner — you solve problems without waiting for permission
• Move fast and with depth — you deliver quickly and make smart trade-offs
• Bring clarity to ambiguity — you create structure and direction amid chaos
• Focus on outcomes — you care about product impact, not just research metrics
• Love developing people — you coach, mentor, and celebrate others' growth
• Adapt fast — changing priorities and uncertainty energize you
• Have a builder's mindset — prototype quickly, iterate constantly
• Learn relentlessly — you're always sharpening your tech and leadership skills

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Strong proficiency in Python is a must
• 4–6 years of hands-on experience in AI/ML engineering with real-world deployment experience
• Familiar with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Strong grasp of end-to-end ML lifecycle: data pipelines, training, validation, monitoring
• Experience in applied AI domains (e.g., recommendations, fraud, risk modeling, NLP)
• Proven track record of technical leadership and mentoring
• Excellent communication and cross-functional collaboration skills
• Must be based in Taiwan and open to hybrid collaboration with international teams

Nice to Have

• Experience 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 environments
• Experience building internal AI platforms or reusable ML modules

What You'll Get

• Competitive salary and performance-based bonuses
• Hybrid work model with flexibility to work remotely or on-site in Taiwan
• High ownership role with regional product impact
• Direct line to the Head of AI and visibility with senior leadership
• Opportunity to lead a rapidly growing AI engineering team
• Fast career growth and technical learning curve
• Flat and fast-moving culture where great work gets noticed

About BJAK
BJAK 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.