Senior Machine Learning Engineer (Anomaly Detection)

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Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?We are looking for Senior Algorithm Engineer to join our TechOps team
 This is a full-time onsite/remote position

Responsibilities:

    • 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:

    • At least 5 years of work experience
    • Good foundation of program development, familiar with Python, Java, spark, Flink and other distributed computing platforms
    • Familiar with machine learning and deep learning algorithms, such as logistic regression, tree model, ensemble learning, temporal data correlation algorithms ARIMA, LSTM, CNN, etc
    • Familiar with machine learning related development frameworks, such as Numpy, Sklearn, Tensorflow, PyTorch, etc
      , experience in practical application and optimization of algorithm projects
    • Experience in anomaly detection or root cause analysis related to monitoring products is preferred
    • AiOps related experience is preferred

Working at Binance

• Do something meaningful; Be a part of the future of finance technology and the no
1 company in the industry• Fast moving, challenging and unique business problems• International work environment and flat organisation• Great career development opportunities in a growing company• Possibility for relocation and international transfers mid-career• Competitive salary• Flexible working hours, Casual work attireBy submitting a job application, you confirm that you have read and agree to our

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