职位&公司对比

职位详情

• 深圳
• 硕士
• 在校/应届

• Python
• Spark
• 数学/统计相关专业
• 大数据开发经验

Job Description • Create, develop and maintain big data pipeline for the cloud data platform; • Apply big data analytic technologies to develop cloud native analytic algorithm for structured data, unstructured data, time ser来自BOSS直聘ies data and other IoT applications; • Conduct research on state-of-the-art technologies to solve business problems; • Working with our domain expert to develop unique AI algorithm for smart building and smart city applications; • Collaborate with academic, industry partners and customers to drive innovative and forward-looking AI technologies; • Research latest technologies and techniques of big data sources / deep learning and Machine Learning techniques; • Work with developers and application analysts within the team to deliver results to the clients in easy-to-understand format. Requirements • PhD / Master / Degree Holder in Computer Science or related discipline; • Experience in applying data analytics, data mining and machine learning; • Hands-on skills in Python and familiar with TensorflBOSS直聘ow or PyTorch; • Experience in big data technologies, e.g. Spark, Hadoop, Flink and Kafka; • Experience in applying AI and big data in production environment will be an advantage; • Experience in IoT streaming and Time Series data applications will be an advantage; • Experience in cloud native application and AWS environment will be an advantage; • Experience in MLOps and DevOps will be an advantage; • able to work independently coupled with strong interp直聘ersonal skills; • Proficiency in both written and spoken English and Chine来自BOSS直聘se; Interm student with strong interests will be welcome. 职位描述 • 创建、开发和维护云数据平台上的大数据管道； • 应用大数据分析技术，开发云原生分析算法，用于处理结构化、非结构化、时间序列数据以及其他物联网应用； • 研究前沿技术，以解决复杂的业务问题； • 与领域专家合作，为智能建筑和智慧城市应用开发创新的人工智能算法； • 与学术界、行业合作伙伴和客户密切合作，推动创新并引领人工智能技术的发展； • 探索大数据源、深度学习和机器学习的最新技术与方法； • 与团队的开发人员和应用分析师协作，以清晰易懂的方式向客户呈现结果。 职位要求 • 计算机科学或相关专业的博士、硕士或本科学历； • 拥有数据分析、数据挖掘和机器学习相关经验； • 熟练掌握 Python，且熟悉 TensorFlow 或 PyTorch； • 具备使用 Spark、Hadoop、Flink 和 Kafka 等大数据技术的经验； • 具有在生产环境中应用AI和大数据的经验者优先； • 有物联网流数据和时间序列数据应用经验者优先； • 具有云原生应用开发及 AWS 环境经验者优先； • 具备 MLOps 和 DevOps 经验者优先； • 拥有独立工作能力和优秀的人际沟通能力； • 精通中英文读写和口语。 欢迎对本职位有浓厚兴趣的实习生前来申请。