Staff Machine Learning Engineer - VoIP Infrastructure

Staff Machine Learning Engineer responsible for designing and implementing VoIP infrastructure and telephony platforms for AI-driven voice workloads. Collaborates with engineering, product, and infrastructure teams to ensure scalable and scalable and reliable voice and AI platforms. Contributes to SRE practices, builds high-quality code, integrates LLMs into voice platforms, and mentors colleagues.

Hands-on experience with VoIP systems using SIP/RTP, Kamailio, RTPEngine, FreeSWITCH, SBCs, PSTN. Experience integrating LLMs, prompt engineering. 4+ years in Python, GoLang, Java. 4+ years operating distributed workloads on Kubernetes with DevOps. Experience with cloud-native, software-defined networking, IaC, configuration management. DevOps tooling (Helm, Ansible, Kubernetes, Prometheus, Splunk, GitLab CI) is an asset. Experience in regulated environments is an asset.