#200585757_CN
rld. - Analyze the requirements, demands, constraints and challenges of machine learning in local or global environments, design or re-design platform architecture to improve its scalability and agility, and to enable new, high-impact use cases - Develop and implement the above design, bringing it to an internal product, with observability to support efficient system management - Design and/or enhance automation of operations for infrastructure and platforms, including tools and processes of monitoring, logging and alerting, to improve scalability in both system construction and runtime operations - Support Dev and Eng efforts through provisioning operational solutions, co-design ML application architecture and drive the coordination among local and global, internal and cross-functional groups to achieve the result of success - Create performance profile for platforms and services, defining service level objectives (SLO) and driving the measurement, monitoring and evaluation over these objectives - Lead constant evaluation on system performance and reliability, discover potential faults, drive RCA and fixes
Minimum Qualifications
Master or PhD degree in Computer Science, Electrical Engineering or equivalent
10+ years of Systems or AIML production-service experience, commensurate with running cutting-edge hybrid cloud services in China and the rest of the world
Solid understanding of system architecture and large-scale service or computational platform operations
Demonstrated understanding of system management, covering aspects of configuration and usage accounting
Proficiency in coding with scripting and programming languages, including Bash, Python, Golang and Java - while having the ability to select the proper language as a tool to solve a certain problem
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)
Preferred Qualifications
Self-motivated and proactive, with demonstrated creative and critical thinking capabilities
Ability to identify problems in depth, distinguishing purposes vs. measures without confusion
Strong sense of thoroughness, driving details, delivering running code, and contributing to the collective understanding of the 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
Demonstrated understanding of computing, storage, and networking in public cloud infrastructures, including provisioning, setup, monitoring, security operations, performance tuning, and troubleshooting.
Knowledge of ML as well as experience in developing real ML jobs
Experience of designing and implementing systems to support ML applications
Experience in device management and mobile app development
Knowledge of data governance and compliance
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Additional Requirements
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