Logo

Algorithm/ Machine Learning Engineer (Abnormal Detection)

Binance
Asia
Full time
Remote

Overview

Department

Data Science & Analytics

Job type

Full time

Compensation

Salary not specified

Location

Asia

Company size

Start Up [ <10 employees ]

Ready to apply?

You're one step away - it takes less than a minute to upload your resume

Resume Assistance

See how well your resume matches this job role with our AI-powered score. By uploading your resume, you agree to our Terms of Service

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.

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)
  • © All rights reserved.