AI 技术主管 Lead AI Engineer (Remote)

工作安排：中国（远程办公 - 可在全国任何地方工作）构建引领东南亚金融普惠未来的 AI 系统在 BJAK，我们致力于用人工智能解决真正有意义的问题——从欺诈检测、风险建模，到高度个性化的金融体验，让保险与金融服务变得更易获取、更易理解、更易承担。我们正在寻找一位AI 技术负责人（Lead AI Engineer），常驻中国，加入我们打造下一代智能系统的核心团队。这个岗位将结合深厚的技术能力与团队领导力，直接汇报给我们的 AI 负责人。你将亲自编写生产级代码、制定技术战略、辅导团队成员，并推动我们建设一支高效、精干、世界级的 AI 工程团队。为什么这个岗位重要你将设计并部署面向数百万用户的核心 AI 系统你将作为 AI 负责人的左膀右臂，推进技术执行与工程标准你将带领和指导初中级工程师，提升团队整体技术能力你将在招聘和扩建高绩效 AI 团队中发挥关键作用你将负责的工作设计、构建并交付生产级机器学习模型，聚焦高价值业务场景负责模型架构、数据管道设计与部署策略的制定与产品、工程、数据团队紧密协作，推动 AI 项目落地全程主导 ML 生命周期：数据准备、训练、部署与监控参与代码审查、项目指导，并协助解决技术难题推动实验精神、持续学习与最佳实践的落地参与面试及技术评估，助力团队扩张与人才选拔跟踪 AI/ML 领域的前沿技术，并将创新落地到生产环境如果你具备以下特质，你将非常适合这个岗位以身作则 - 不仅写代码，更带动团队一起成长拥有主人翁思维 - 遇到问题主动出手解决，不等命令快速且深入 - 在权衡取舍中做出高效且明智的技术决策混乱中推导清晰 - 善于建立结构，明确方向，推动执行注重落地成果 - 聚焦现实问题的解决，而非学术追求热爱带人 - 享受辅导他人成长，看到团队成员取得进步快速适应变化 - 能应对不确定性与优先级频繁调整拥有 Builder 心态 - 快速原型、快速试错、快速迭代不断学习 - 技术、产品、管理全面成长，从不设限任职要求计算机科学、工程或相关领域的本科或硕士学历4-6 年 AI/机器学习工程经验，有真实场景的模型部署经验精通 Python，深入理解并熟练应用 ML 框架（如 TensorFlow、PyTorch、Scikit-learn）熟悉完整的 ML 生命周期，包括数据管道、训练、验证与监控有推荐系统、欺诈检测、风险建模、自然语言处理等实际项目经验有技术领导经历，能够有效辅导工程师并带领团队完成任务出色的沟通能力与跨团队协作能力常驻中国，并可远程与区域团队进行日常合作加分项有使用 MLOps 工具经验（如 MLflow、Airflow、Docker、GCP/AWS 等）熟悉 Responsible AI 实践（公平性、可解释性、模型治理等）有初创或高速扩张型公司工作经验有构建内部工具、可复用 ML 组件或 AI 平台的经验你将获得有竞争力的薪资与绩效奖金完全远程、灵活的办公制度（中国境内不限地点）高度自主权，影响力覆盖整个区域市场直接向 AI 负责人汇报，并参与公司高层技术讨论领导并塑造一支正在快速成长的 AI 工程团队快速的职业发展路径与学习机会扁平高效的协作文化，好点子快速落地，优秀工作被看见关于 BJAKBJAK 是东南亚最大的数字保险平台，服务数百万用户，致力于提供透明、可负担的金融保障。总部位于马来西亚，业务覆盖泰国、台湾、日本。我们正构建 AI 驱动的系统，让复杂的金融服务变得更易用、更快速、更公平。我们的技术以用户为中心，快速响应业务需求 - 无论是个性化定价引擎、智能自动化还是欺诈检测系统，BJAK 始终致力于用 AI 改善金融体验。如果你希望构建、领导并扩展真正有价值的 AI 系统，期待在一个思维大胆、节奏迅速的团队中快速成长，欢迎你加入我们！------------------------------------------------------------------------------------ Working Arrangement: China (Remote - work from anywhere in China)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 China 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 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 technical execution and engineering standardsYou’ll lead and mentor junior engineers to elevate team performance and capabilitiesYou’ll play a critical role in hiring and scaling a high-performance AI teamWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiativesOwn the end-to-end ML lifecycle — from data prep to deployment and monitoringReview code, guide projects, and mentor engineers through technical challengesChampion experimentation, continuous learning, and AI best practicesInterview and evaluate candidates, contributing to technical hiring and team buildingStay ahead of ML advancements — and bring cutting-edge solutions into productionYou’ll Thrive Here If You...Lead from the front — you’re hands-on in code, but always lifting othersThink like an owner — you don’t wait for permission to solve a problemOperate at speed and depth — you make fast, sound decisions that balance trade-offsPush for clarity — even in chaos, you bring structure, direction, and accountabilityCare about what ships — you focus on solving real-world problems, not just academic onesGrow the team, not just the tech — you enjoy mentoring, coaching, and seeing others winAdapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidenceHave a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterateKeep learning — you’re constantly leveling up your technical, product, and leadership gameRequirementsBachelor's or Master’s degree in Computer Science, Engineering, or a related field4–6 years of experience in AI/ML engineering with real-world deployment experienceStrong Python skills and deep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Track record of technical leadership and mentoring engineersExcellent communication and collaboration skillsMust be based in China and open to working remotely with regional teamsNice to HaveExperience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Startup or scale-up environment experienceExposure to building internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance-based bonusesFully remote and flexible work arrangement from anywhere in ChinaHigh ownership role with impact visible at a regional scaleDirect reporting line to Head of AI with exposure to senior leadershipOpportunity to lead and shape a growing AI engineering teamFast-track career growth and learning opportunities in a high-speed environmentCollaborative, flat culture where ideas move fast and great work gets noticedAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair.We believe in technology that moves fast and serves real needs — from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia.If you’re ready to build, lead, and scale AI that matters — and want to grow with a company that thinks big and moves fast — we’d love to hear from you.

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