Data Engineer ETL 工程师

• Responsible for data cleaning (ETL) and data warehouse construction to support large-scale AI models
• Responsible for training and fine-tuning large AI models to meet the requirements of specific business scenarios
• Responsible for developing supporting tools, such as dashboards and general business logic, to ensure the practicality of AI model applications
• Must have hands-on development experience and be able to lead a team or independently complete projects related to data collection and development
• 负责数据清洗（ETL）和数仓建设，从而为大模型服务
• 负责大模型训练和调优，以满足对应业务场景要求
• 负责开发周边工具，比如dashboad和普通业务逻辑，以实现大模型应用产品实用性。
• 要有实际开发经验，带队或独立完成数据收集开发相关项目

Requirements

• A degree in computer science or a related field is preferred. Must be familiar with professional knowledge in machine learning, deep learning, and natural language processing, with at least 1 year of experience in GPT or Gemini application development, and proficient in deep learning frameworks such as PyTorch or TensorFlow
• Familiar with models such as Transformer, BERT, GPT, and fine-tuning algorithms like LoRA, with experience in fine-tuning models
• Must have Java programming experience
• Experience in backend Java development for data engineering use cases, particularly real-time processing with Apache Flink
• Must have experience in data warehouse development and construction, such as using Flink and building ETL data cleaning pipelines
• Experience with large model pre-training and practical application in business scenarios is a plus
• Must have hands-on experience in setting up large models based on open-source frameworks
• Experience in conversational AI, marketing content generation, or machine translation is preferred
• Priority will be given to candidates with hands-on experience in Google Cloud Platform (GCP), particularly those with experience in BigQuery
• 计算机相关专业优先，熟悉机器学习、深度学习、自然语言处理等领域专业知识，必须有过至少1年的GPT或者Gemini应用开发，熟悉pytorch/tensorflow深度学习框架；
• 熟悉transformer、bert、gpt等模型，熟悉LoRA等微调算法，有微调模型的经验；
• 必须有Java编程经验；
• 在数据工程用例下后端 Java 开发经验，特别是使用 Apache Flink 的实时处理
• 必须数仓开发和建设经验，比如flink技术和ETL数据清洗流水线搭建。
• 有大模型预训练、实际业务场景落地经验者优先；
• 必须有过基于开源大模型自己搭建的经验；
• 有对话机器人，营销广告素材生成，机器翻译方向工作经验者优先。
• 优先考虑具备 Google Cloud Platform（GCP） 实战经验，尤其是 BigQuery 相关经验的候选人。

Benefits

• Lead community-building for Southeast Asia's largest parenting ecosystem
• Be at the forefront of connecting brands with real parents in authentic and impactful ways
• Work with a passionate team driving innovation in the parenting space
• Regional exposure across three of SSEA's most dynamic markets
• 引领东南亚最大育儿生态社区的发展与建设
• 站在前线，以真实且有影响力的方式连接品牌与真实父母
• 与充满热情的团队合作，共同推动育儿领域的创新
• 拥有覆盖东南亚三大核心市场的区域曝光与发展机会