Algorithm/ Machine Learning Engineer (Abnormal Detection)

Develop and optimize algorithms for abnormal detection and root cause analysis in monitoring products. Leverage cutting-edge AiOps technologies to drive algorithm and product optimization.

Overview

Department

Data Science & Analytics

Job type

Full time

Compensation

Salary not specified

Location

Central Asia

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Requirements

More than 5 years working 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.

LLM related experience is preferred.

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

Benefits

Shape the future with the world’s leading blockchain ecosystem

Collaborate with world-class talent in a user-centric global organization with a flat structure

Tackle unique, fast-paced projects with autonomy in an innovative environment

Thrive in a results-driven workplace with opportunities for career growth and continuous learning

Competitive salary and company benefits

Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)