Principal Data Researcher

标准职责:
Responsibilities
Continuously learn and assess the state-of-the-art of Data for AI technologies, particularly those applicable to Autonomous Networks.
Interact with Huawei domain experts to gain a good understanding of challenges and gaps in the telecommunication domain, translating these into research problems.
Develop solution designs for novel data management architectures and guide the team members to develop technologies for autonomous agents.
Contribute to the rapid and iterative development of validated software prototypes based on AI applied to Data management technologies, and rigorously benchmark alternative solutions.
Work closely with Domain Experts, AI researchers, and product development teams to ensure research translates into practical, impactful solutions.
Conduct technical insights, contribute to strategic planning to maintain Huawei's technological leadership, and propose innovative solutions and ideas for Autonomous Telecommunication.
自定义职责:
主持完成关键数据分析算法的总体需求分析、概念和方法研究、开发、验证和优化等工作，实现算法研究突破，在精度、准度、效率等方面和业界Benchmark相比有显著性提升，成为相关产品的差异化技术竞争力。
Requirements:
语言要求:
英语
教育背景要求:
PhD degree in Computer Science or a related technical field.
技能要求:
Strong practical experience with Deep Learning and/or Reinforcement Learning.
Good at Python programming and ML frameworks, i.e., Pytorch, Scikit-learn, TensorFlow.
Independently design, develop, debug, and verify cutting-edge AI algorithms and solutions.
能力要求:
知识要求:
Strong practical experience with Deep Learning and/or Reinforcement Learning.
专业证书要求:
其他要求:
理解领域及客户痛点
自我学习能力
开放内部与外部协作
创新和战略思维