Staff Machine Learning Engineer - VoIP Infrastructure
Santa Clara, California, United States
USD 173K-303K Senior-level Full Time
Tasks
- Apply prompt engineering to LLM features
- Automate testing for deployments
- Collaborate to improve performance and scalability
- Design VOIP infrastructure
- Develop telephony platforms
- Enforce software engineering best practices
- Execute deployments for VoIP systems
- Implement observability for voice workloads
- Implement unit testing
- Integrate LLMs into voice platforms
- Integrate voice platforms with SIP RTP
- Mentor engineers
- Perform code reviews
- Share knowledge across telecom and AI
- Support production voice environments
- Turn operational voice use cases into requirements
Perks/Benefits
Skills/Tech-stack
Ansible | Cloud Native | Configuration Management | DevOps | Distributed Systems | FreeSWITCH | GitLab CI | Go | Helm | Infrastructure as Code | Java | Kamailio | Kubernetes | LLM integration | Language Models | Large Language Models | PSTN | Prometheus | Prompt engineering | Python | RTP | RTPEngine | Real Time | Real-Time Communication | SBC | SIP | SRE | Software-defined networking | Splunk | “as-code”
Education
N/A
Regions
Countries
States
Cities
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