Responsible for the development and algorithm optimization of abnormal detection, root cause analysis and other functions of monitoring products Focus on cutting-edge technologies and trends in AiOps field to drive algorithm and product optimization Requirements: More than 5 years working experience Good foundation of program development, familiar with Python, Java, spark, Flink and other distributed computing platforms Expert in Time Series data processing algorithms is required, covering RNN, LSTM and DNN and other deep learning algorithms Strong experience in anomaly detection is required, such as identifying data patterns (periodicity, volatility, irregularity) and applying different algorithmic model detection for different data patterns Strong experience of monitoring and incident handling is required Experience in anomaly detection or root cause analysis related to monitoring products is preferred AiOps related experience is preferred Role: Software Development - Other Industry Type: Internet Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Career developmentRoot cause analysisdeep learningsparkFocusMachine learningManager TechnologyData processingMonitoringPython
Remote
Remote
Software Developer
(Based On Interview)
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