Staff Machine Learning Engineer (VoIP Infrastructure)

Join our team as a Staff Machine Learning Engineer specializing in VoIP infrastructure. In this role, you will contribute to the design, development, and implementation of telephony platforms and observability features that power AI-driven voice workloads. You will collaborate with various teams to ensure our voice and AI platforms perform efficiently and integrate seamlessly. Additionally, you will mentor colleagues and promote knowledge-sharing across telecom and AI engineering disciplines.

- Contribuer à la conception, au développement et à la mise en œuvre de l'infrastructure VoIP, des plateformes de téléphonie et des fonctionnalités d'observabilité qui alimentent les charges de travail vocales pilotées par l'IA. - Collaborer avec les équipes d'ingénierie, de produit et d'infrastructure pour garantir que nos plateformes vocales et d'IA fonctionnent efficacement, évoluent de manière fiable et s'intègrent parfaitement aux systèmes de télécommunications. - Contribuer à l'amélioration continue de la pratique SRE en transformant les cas d'utilisation opérationnels de la téléphonie et des charges de travail d'IA en exigences pour les outils logiciels.

- 4+ years of development experience with Python, GoLang, Java or similar languages - Experience with software-defined networking, infrastructure as code and configuration management - 4+ years of experience with infrastructure and platform operations, deployments, SRE, and DevOps with a continued focus on improving Platform health is considered an asset - Hands-on experience building VoIP systems using SIP/RTP protocols - Experience integrating applications on top of LLMs (using existing models, not building them) - Experience with DevOps tooling  (e.g. Helm / Ansible / Kubernetes / Prometheus /Splunk/ GitLab CI) is considered an asset - Working experience building distributed systems with cloud-native software - Experience in prompt engineering and developing LLM based features - Experience building software for compliance and security in regulated environments is considered an asset - 4+ years of experience operating highly available distributed workloads on Kubernetes following a DevOps approach - Practical knowledge of Kamailio, RTPEngine, FreeSWITCH, SBCs, and PSTN systems (or similar) - Working knowledge of PSTN infrastructure and telecom protocols