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| Job Location | Chennai |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Internet / E-Commerce |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
- Build, evolve, and scale state-of-the-art machine learning system infrastructure powering PayPals data and Ai Platforms.- be a key engineer contributing to the design, development and operation of the large-scale infrastructure systems.- work with other Machine learning / deep learning researchers and backend engineers to implement scalable solutions to solve complex problems.- Be the Engineer and DEV OPS to the team and help build scalable, secure, durable Ai Platforms.Prior Experience -- BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.- Expert in Kickstart, Jumpstart, NIM, AutoYast Installation Methods.- Experienced in Installing, configuring, and upgrading of *nix systems and other architectures like ppc64le.- Experienced in working with Netapp and EMC storage systems for NAs and SAN.- Build, maintain and managed Docker runtime and images on Ubuntu and CentOS for GPU and HPC platforms.- Experience on container-based deployments using Docker and Kubernetes.- Experience in monitoring and performance analysis of Machine Learning, AI and GPU server platforms using tools like Grafana and Zabbix.- Understanding of ML frameworks and techniques- Experience with manageing, deployment of large scale distribute systems and heterogenous platform components- Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)- Develop and integrate automation and tools for alerting, monitoring and providing NO-OP deployments.,
Keyskills :
windowstroubleshootinglinuxmanagementwindowsserverdeeplearningcomputersciencemachinelearningfinancialservicespaypalintegrationqualemploymentopptunityemcstageagesystems