Bell Labs : Researcher in E2E Network and Service Automation
1- PhD or significative work experience in machine-learning/data-mining applied to cloud/telecom control
2- Expertise in machine-learning / data-mining for system control, algorithms and tools (e.g. TensorFlow, PyTorch)
3- Proficient in medium/high level programming languages (Python, C/C++, Java)
4- Proficient in model/data description languages (yaml, json)
5- Expertise in cloud-native environments (Kubernetes, Openstack) and development practices (12 factors…)
5- Knowledge in radio/mobile technology (4G+, WiFi), willingness to support new e2e features for 5G (slicing, IOT...)
6- Exposure to open source cloud tools (K8s, Jenkins…)