Job Description

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.

1. Ensure the reliability and normal operation of multiple core systems related to Viking Team's Big data and online services, while focusing on system capacity planning and stability assurance;
2. Enhance system visibility by monitoring the availability and performance metrics of system components, helping development teams quickly locate faults, and especially ensuring the stability in critical links such as AI search/vector databases;
3. Improve the reliability, scalability, and Performance optimization of services to ensure the achievement of the core system SLA;
4. Participated in the design and implementation of the automation platform, ensuring the rapid iteration and efficient operation and maintenance of large-scale online Viking clusters and AI search-related clusters;
5. Combining with the usage scenarios of AI Search/Viking business, in-depth optimization of service governance practices, including but not limited to analysis of performance bottlenecks in key AI Search/Viking links, business problem location and troubleshooting, promoting the transformation and upgrading of the system's high-availability architecture, and those familiar with Viking-related technologies are preferred to participate in core optimization work.