Principal Machine Learning Engineer - VoIP Infrastructure
Chicago, Illinois, United States
USD 236K-413K Senior-level Full Time
Tasks
- Architect observability for voice workloads
- Convert operational telephony use cases into software requirements
- Design VoIP infrastructure and telephony platforms
- Enforce software engineering best practices with code reviews and unit testing
- Implement test automation and delivery pipelines
- Integrate LLM powered features into real time voice pipelines
- Integrate across SIP RTP Kamailio and RTPEngine
- Lead VoIP and CCaaS integrations
- Lead deployment and production support for VoIP systems
- Mentor colleagues and promote knowledge sharing
Perks/Benefits
Skills/Tech-stack
Ansible | Cloud Native | Cloud-native software | Configuration Management | DevOps | Distributed Systems | FreeSWITCH | GitLab CI | Golang | Helm | Infrastructure as Code | Java | Kamailio | Kubernetes | LLM | PSTN | Prometheus | Prompt engineering | Python | RTP | RTPEngine | Reliability Engineering | SBC | SIP | Site Reliability | Site Reliability Engineering | Software-defined networking | Splunk | “as-code”
Education
N/A
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