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Machine Learning Engineer 机器学习工程师 (Remote) at Bjak. Remote Location: China. 📍 工作安排：中国境内远程办公（Work from Anywhere in China）. 构建让金融更简单、更智能、更普惠的 AI 系统. 在 BJAK，我们正在构建新一代智能金融服务，服务于整个东南亚地区。作为一名机器学习工程师，你将参与开发和部署支持核心功能的模型 - 涵盖个性化推荐、风险评分、智能自动化、欺诈检测等。你的工作将直接影响数百万用户，带来可见的实际成果。. 本职位为远程岗位，需常驻中国，并与马来西亚总部及产品、数据与工程团队进行跨国远程合作。你将加入一个高效、执行力强的团队，在这里，你的创意将转化为现实解决方案。. 为什么这个岗位重要. 你将设计并扩展机器学习解决方案，直接提升用户体验与运营效率. 你将参与构建面向生产环境、可大规模落地的系统. 覆盖多种应用场景，与产品、数据和工程团队紧密协作. 在一个精干、充满雄心的团队中迅速成长，拓展区域影响力. 你将负责的工作. 与产品经理、数据科学家和工程师合作，定义机器学习目标与使用场景. 构建、训练与部署支持推荐、分类、排序或检测等功能的模型. 管理完整的 ML 生命周期：数据处理、特征工程、模型训练、评估、部署与监控. 维护可扩展的机器学习基础设施与流水线. 将模型整合至生产系统与用户产品中. 分析模型性能，基于反馈与数据迭代优化. 持续关注 AI/ML 前沿技术并推动创新落地. 参与调试、测试与性能优化，确保模型高效稳定运行. 如果你具备以下特质，你将非常适合这个岗位. 关注结果，而不仅仅是完成任务 - 你在意模型是否在现实中真正产生价值. 快速探索与上手 - 面对模糊方向，你会主动尝试、推进并交付成果. 对速度有追求 - 你享受快节奏、快速迭代、不断变化的工作环境. 从头到尾解决问题 - 无论是混乱数据还是上线部署，你都全程负责到底. 不拘泥于角色界限 - 你愿意补位，快速学习，灵活应变. 重视反馈与成长 - 你热爱迭代改进，时刻提升自己与产品. 善于从混乱中找到方向 - 你能为团队带来结构、行动与推进力. 谦逊但有冲劲 - 你是高效的个人贡献者，同时也提升整个团队的战斗力. 任职要求. 计算机科学、数据科学或相关技术领域的本科或硕士学历. 2-4 年机器学习、人工智能或后端开发经验. 精通 Python，熟悉 TensorFlow、PyTorch 或 Scikit-learn 等主流框架. 扎实的机器学习开发经验：预处理、建模、评估、部署. 有通过 API 或云平台将模型部署到生产环境的经验. 熟悉 Jupyter Notebook、Git 等协作工具和代码管理流程. 良好的问题解决能力、沟通能力与团队协作精神. 需常驻中国，并能适应远程跨区域团队协作. 加分项. 有自然语言处理、推荐系统或计算机视觉方面的经验. 熟悉 AWS、GCP 或 Azure 等云平台服务. 使用过 Docker、CI/CD 工具或了解容器化部署流程. 有在高速成长型初创公司或敏捷产品团队中的工作经验. 你将获得. 具有竞争力的薪酬与绩效奖金. 灵活的远程办公政策，可在中国任意城市工作. 高影响力岗位，与产品、工程、管理层均有紧密合作. 扁平化团队结构，你的贡献将被看见，你的声音被听见. 快速成长机会，加入一家使命驱动型科技公司. 深度参与东南亚最具活力的金融科技市场. 关于 BJAK. BJAK 是东南亚最大的数字保险平台，已帮助数百万用户获得透明、可负担的金融保障。公司总部位于马来西亚，并在泰国、台湾、日本等地设有运营团队。我们通过人工智能、自动化、智能推荐与 API，简化金融服务流程。. 我们致力于改变人们获取、理解和受益于金融保障的方式 - 我们正在寻找热爱技术、勇于挑战现实问题的工程师，与我们共同实现这个愿景。. 如果你渴望将机器学习技术应用于真实世界的高影响力场景 - 欢迎加入 BJAK，一起构建更智能、更公平的金融系统！. ------------------------------------------------------------------------------------------. 📍 . Working arrangement: China (Remote — work from anywhere in China). Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive. At BJAK, we’re building the next generation of intelligent financial services across Southeast Asia. As a Machine Learning Engineer, you’ll develop and deploy models that power key features - from personalization and risk scoring to intelligent automation and fraud detection. Your work will have a direct and visible impact on millions of users across the region.. This is a remote role based in China, working closely with our HQ in Malaysia and cross-functional teams across product, data, and engineering. You’ll be part of a fast-paced, execution-driven environment where your ideas help shape real-world solutions.. Why This Role Matters. You’ll design and scale ML solutions that directly impact user experience and operational efficiency. You’ll contribute to robust, production-grade systems used by millions. You’ll work across a variety of use cases and collaborate closely with product, engineering, and data. You’ll grow quickly in a lean, ambitious team with regional influence. What You’ll Do. Collaborate with product managers, data scientists, and engineers to define machine learning goals and use cases. Build, train, and deploy models to power features like recommendation, classification, ranking, or detection. Manage the full ML lifecycle: data wrangling, feature engineering, training, evaluation, deployment, and monitoring. Develop and maintain scalable ML pipelines and infrastructure. Integrate models into production systems and user-facing applications. Analyze model performance and retrain based on feedback and evolving data. Stay up to date on relevant AI/ML advancements and contribute to innovation. Support debugging, testing, and performance optimization of ML systems. You’ll Thrive Here If You.... Own outcomes, not just tasks - you care deeply about real-world results, not just shipping code or hitting accuracy targets. Figure things out fast - when direction is unclear, you don’t wait; you explore, test, and make progress. Move with urgency - you’re excited by fast-moving environments, quick iterations, and shifting priorities. Solve problems end-to-end - from messy data to model deployment, you chase the solution across the stack. Wear multiple hats - you’re not limited by role boundaries; you jump in where needed and learn fast. Thrive on feedback, iteration, and learning - you improve things daily, including yourself. Turn chaos into clarity - you bring structure, action, and momentum when others are stuck. Stay humble and hungry - you’re a strong individual contributor who makes the team stronger. Requirements. Bachelor's or Master’s degree in Computer Science, Data Science, or a related technical field. 2 - 4 years of experience in machine learning, AI, or backend software development. Proficient in Python and experienced with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong understanding of ML development: preprocessing, model building, evaluation, and deployment. Experience deploying models in production via APIs or cloud infrastructure. Familiar with Jupyter, version control tools (Git), and collaborative coding practices. Strong problem-solving, communication, and teamwork skills. Must be based in China and able to work remotely with regional teams. Nice to Have. Experience with NLP, recommender systems, or computer vision. Familiarity with cloud platforms such as AWS, GCP, or Azure. Exposure to containerization tools like Docker and CI/CD processes. Background in fast-growth startups or agile product environments. What You’ll Get. Competitive salary and performance-based bonuses. Flexible, remote-first work from anywhere in China. High-impact role with visibility across product, engineering, and leadership. Flat structure - your work is seen and your voice matters. Fast learning curve with room to grow alongside a mission-driven company. Regional exposure across Southeast Asia’s most exciting fintech markets. About BJAK. BJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access transparent and affordable financial protection. Headquartered in Malaysia, with presence in Thailand, Taiwan, and Japan, we’re building AI-powered solutions that simplify financial services through automation, smart recommendations, and cutting-edge APIs.. We’re on a mission to reshape how people access, understand, and benefit from financial protection - and we’re looking for passionate engineers to help us make it real.. Excited to apply machine learning to real-world challenges at scale? Join BJAK and help us build smarter, fairer financial systems across Asia.