AI/ML-Systems Engineer (Machine Learning), Machine Learning Platforms (Beijing / Shanghai)

June 8, 2022

Job Description

Key Qualifications

  • 10+ years of Systems or AIML production-service experience, commensurate with running cutting-edge hybrid cloud services in China and the rest of world
  • Self-motivated and proactive, with demonstrated creative and critical thinking capabilities
  • Ability for identifying problems in depth, distinguishing purposes vs. measures without confusion
  • Solid understanding of system architecture and large-scale service or computational platform operations
  • Demonstrated understanding on system management, covering aspects of configuration, security, performance, troubleshooting and usage accounting
  • Proficiency in coding with scripting and programming languages, including Bash, Python, GoLang, while having the ability of selecting the proper language as tool to solve a certain problem
  • Knowledge of large data storage and processing using SQL and Cassandra, HDFS and S3, Yarn and Spark
  • Knowledge of ML as well as experience in developing real ML jobs
  • Experience of designing and implementing systems to support ML applications
  • Experience in large-scale service and job deployment, using an orchestration framework (Kubernetes) and cloud services for large-scale projects
  • Experience in observability of system behaviors (e.g. Prometheus, Grafana)
  • Strong sense of thoroughness, driving details, delivering running code and contributing to collective understanding of organization
  • Sense of speed and prioritization, driving what matters with constrained resources while delivering high-quality results
  • Good communication with internal and external teams, in English and in Chinese

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