Staff Machine Learning Engineer - VoIP Infrastructure

📋 Description

• Contribute to the design, development and implementation of VoIP infrastructure, telephony
• Collaborate with engineering, Product, and infrastructure teams to ensure our voice and AI
• Contribute to the continuous improvement of the SRE practice by turning operational telephony and
• Contribute to the execution of deployment and support activities for VoIP systems and AI/ML
• Build high-quality, clean, scalable and reusable code by enforcing best practices around software
• Work with product owners to understand detailed requirements and own your code from design

🎯 Requirements

• Hands-on experience building VoIP systems using SIP/RTP protocols
• Practical knowledge of Kamailio, RTPEngine, FreeSWITCH, SBCs, and PSTN systems (or similar)
• Working knowledge of PSTN infrastructure and telecom protocols
• Experience integrating applications on top of LLMs (using existing models, not building them)
• Experience in prompt engineering and developing LLM based features
• 4+ years of development experience with Python, GoLang, Java or similar languages