【社招】!欢迎经验丰富的小伙伴们投递!!公司在南京。。
岗位及投递链接:https://trendmicro.zhiye.com/zpdetail/190353850
内推码:4528
工作职责:
As a data scientist, you are expected to
- Apply machine learning and advanced analytics for security feature improvements so as to achieve better customer protection
- Design and implement high-performance machine learning solutions for security risk assessment on Trend Micro big data platform
- Design and implement best-in-class data analysis and machine learning models on streaming datasets from multiple sources
- Design and implement adaptive risk assessment and policy enforcement strategy for different customer profile
- Establish efficient processes for large scale data analyses, feature engineering, model development/validation/deployment. and model implementation.
- Provide technical leadership and coach applied machine learning developers on algorithm/solution implementation
任职资格:
- Ph.D/MS in Computer Science/Math /Statistics or a related Engineering degree.
- 3+ years strong working experiences of machine learning and big data analysis which can include predictive analytics, time series forecasting, deep learning, recommendation systems or knowledge graph systems.
- Strong machine learning breadth and depth with solid experience developing using frameworks like PyTorch, MXNet,TensorFlow or scikit-learn
- Strong programming skills in Java, Python,Go or similar language
- With working knowledge of credit scorecard/scoring system, fraud detection or UEBA is a plus
- With working knowledge of Flink/Spark or Kubeflow is a plus
公司简介
趋势科技创建于1988年,目前在全球69个国家和地区设有分公司,员工总数超过7000人。趋势科技是全球最大的独立安全软件提供商,已是全球公认的服务器、虚拟化和云安全领域的全球领军者,业已荣膺“全球虚拟化安全市场第一”,“全球服务器安全市场第一”以及“全球云安全市场第一”殊荣。 全球 50 强企业中的 48 家都选用趋势科技的解决方案,其中囊括全球10大汽车公司和10大电信公司。
作为内容安全领域的领军企业,趋势科技提供与企业生态系统无缝集成的安全解决方案以保障企业及个人用户交换数字信息环境的安全,并赋予企业有效管理风险的能力。趋势科技的安全解决方案可用于跨细分市场的所有常用计算平台,从而服务于个人用户、中小企业以及大型企业用户。
趋势科技专注的领域涵盖:数据中心和云服务,邮件和通讯安全,数据中心安全,网络安全,智能防护云,终端和移动以及风险管理等。趋势科技的网络防恶意软件专利是行业的知识产权典范。趋势科技在全球拥有 15 个恶意软件实验室(TrendLabs),11个研发中心,可以涵盖世界各地的威胁,遍布全球各地的1,500余名趋势科技安全专家可为各国家和地区的用户提供7×24的全天候响应及技术支持服务。
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