亚马逊Data Engineer II, ROW AOP
任职要求
基本任职资格 - Bachelor's degree or above in computer science, computer engineering, or related field, or Master's degree - 3+ years of data engineering experience - Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Knowledge of cloud services such as AWS or equivalent - Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments - Experience with version control systems and CI/CD pipeline implementation - Experience in complex problem solving, and working in a tight schedule environment - Experience working in a collaborative team environment to deliver high-quality design solutions 优先任职资格 - Experience in industry, consulting, government or academic research - Experience wi…
工作职责
1. Design, develop, and maintain scalable data pipelines to support ML model development and production deployment. 2. Implement and maintain CI/CD pipelines for the data and ML solutions. 3. Collaborate with data scientists and other team members to understand data requirements and implement efficient data processing solutions. 4. Create and manage data warehouses and data lakes, ensuring proper data governance and security measures are in place. 5. Collaborate with product managers and business stakeholders to understand data needs and translate them into technical requirements. 6. Stay current with emerging technologies and best practices in data engineering, and propose innovative solutions to improve data infrastructure and processes for ML models and analytics applications. 7. Participate in code reviews and contribute to the development of best practices for data engineering within the team.
1. Design, develop, and maintain scalable data pipelines to support ML model development and production deployment. 2. Implement and maintain CI/CD pipelines for the data and ML solutions. 3. Collaborate with data scientists and other team members to understand data requirements and implement efficient data processing solutions. 4. Create and manage data warehouses and data lakes, ensuring proper data governance and security measures are in place. 5. Collaborate with product managers and business stakeholders to understand data needs and translate them into technical requirements. 6. Stay current with emerging technologies and best practices in data engineering, and propose innovative solutions to improve data infrastructure and processes for ML models and analytics applications. 7. Participate in code reviews and contribute to the development of best practices for data engineering within the team.
1、配合电路设计工程师完成相应BLOCK的版图工作； 2、可以独立完成相应版图的DRC/LVS/ERC的验证工作； 3、优化版图并减少寄生，优化EMIR； 4、与电路设计工程师充分沟通，确保版图符合设计者的要求。
1、负责搭建快手NLP技术体系，包括但不限于文本分类、知识图谱、翻译、对话等； 2、与业务部门进行沟通与协作，交付满足产品需求的核心算法模型与能力。
1、负责AI小快智能助理机器人的研究和开发； 2、优化基础模型，并采用RAG、Agent等大模型衍生框架，来提升相关业务指标； 3、持续跟进并深入调研大模型前沿技术、开源方案，跟踪业内大模型领域的最新进展并推进相关研究，探寻将最新技术应用到AI小快的可能性。