3 Stt Jobs

As an AI Voice LLM Integration Developer, you will play a pivotal role in building and optimizing Your work will focus on: Integrating GPT's ASR (speech-to-text) and TTS (text-to-speech) APIs into our platform. Handling real-time voice streaming from VoIP/SIP systems. Optimizing low-latency communication between AI models and telephony platforms (e.g., FreeSWITCH, WebRTC). Supporting PBX call routing handoWs with AI agents. Ensuring high-quality, natural-sounding AI-driven voice interactions. Key Responsibilities Design and develop real-time voice processing pipelines for AI-driven conversations. Integrate OpenAI's Whisper (ASR) and TTS APIs with VoIP and WebRTC systems. Develop low-latency audio streaming middleware between telephony providers(Telnyx, Bandwidth) and GPT. Work with SIP and WebRTC to ensure seamless audio transmission. Implement PBX call routing and AI handoW mechanisms (e.g., transferring AI-handled calls to human agents). Optimize AI voice latency and response times for a real-time, natural experience. Collaborate with VoIP engineers to integrate AI capabilities into SIP-based systems. Design APIs to manage AI-driven IVR workflows and customer interactions. Ensure compliance with telephony regulations (e.g., STIR/SHAKEN, call recording laws). Monitor system performance and implement scalability strategies for voice interactions. Required Qualifications AI LLM Integration o Experience integrating GPT APIs (ChatGPT, Whisper, TTS engines) for voice applications. o Understanding of real-time AI voice processing and conversational AI workflows. Voice Audio Streaming o Experience working with low-latency, real-time audio streaming. o Familiarity with WebRTC, SIP/RTP, and VoIP streaming. Programming Middleware Development o Proficiency in Python, Node.js, or Go for API and middleware development. o Experience developing RESTful APIs and real-time streaming solutions. VoIP Telephony Knowledge o Familiarity with SIP, FreeSWITCH, Asterisk, or other PBX platforms. o Experience working with SIP trunking providers (Telnyx, Bandwidth, Flowroute, etc.). Performance Optimization o Ability to reduce latency in AI-driven conversations. o Experience with audio codec optimization (G.711, Opus, etc.). One or more of the following additional qualifications: o Experience with STT/ASR models beyond GPT (Google Speech-to- Text, Deepgram, Kaldi). o Background in signal processing or audio engineering. o Familiarity with cloud-based voice solutions (AWS Connect, Twilio Voice, Dialogflow CX). o Knowledge of containerization (Docker, Kubernetes) for scaling AI voice workloads. o Experience with multi-tenant architectures for voice AI.

Notice Period : Immediate 15 days We are seeking a highly skilled and motivated Smartphone Field Testing Engineer to join our dynamic team in Mumbai. As a key member of our team, you will play a crucial role in ensuring the quality and performance of our latest smartphone devices. Key Responsibilities : Field Testing : - Conduct comprehensive field testing of smartphones and smartwatches to evaluate performance, connectivity, and user experience under real-world conditions. - Investigate and troubleshoot issues related to network connectivity, call quality, data transfer speeds, and other critical functionalities. - Collaborate with cross-functional teams to identify and resolve field issues promptly. Log Analysis and Debugging : - Utilize advanced logging tools like QxDM, QCAT, Wireshark, STT, and ELT to analyze device logs and identify root causes of performance issues. - Debug complex technical problems and propose effective solutions. 3GPP Standards : - Possess a deep understanding of 3GPP specifications for 3G, 4G, and 5G technologies. - Ensure compliance with industry standards and regulatory requirements. Reporting and Documentation : - Prepare detailed test reports, summarizing test results, findings, and recommendations. - Effectively communicate technical information to both technical and non-technical audiences. Team Collaboration : - Work closely with cross-functional teams, including engineering, product management, and customer support, to ensure timely resolution of field issues. - Contribute to a positive and collaborative team environment. Required Skills and Qualifications : - 3-5 years of experience in smartphone field testing. - Strong understanding of 3GPP specifications for 3G, 4G, and 5G technologies. - Hands-on experience with Android and iOS devices, including smartphones and smartwatches. - Proficiency in using log analysis tools like QxDM, QCAT, Wireshark, STT, and ELT. - Excellent problem-solving and troubleshooting skills. - Strong attention to detail and ability to work independently. - Excellent written and verbal communication skills. - Ability to work under pressure and meet tight deadlines. Preferred Skills : - Experience with network optimization and performance tuning. - Knowledge of scripting languages (e.g., Python, Perl) for automation. - Familiarity with test automation frameworks.

What would you do? System Design: Architect and design end-to-end speech processing pipelines, from data acquisition to model deployment. Ensure systems are scalable, efficient, and maintainable. Advanced Modeling: Develop and implement advanced machine learning models for speech recognition, speaker diarization, and related tasks. Utilize state-of-the-art techniques such as deep learning, transfer learning, and ensemble methods. Research and Development: Conduct research to explore new methodologies and tools in the field of speech processing. Publish findings and present at industry conferences. Performance Optimization: Continuously monitor and optimize system performance, focusing on accuracy, latency, and resource utilization. Collaboration: Work closely with product management, data science, and software engineering teams to define project requirements and deliver innovative solutions. Customer Interaction: Engage with customers to understand their needs and provide tailored speech solutions. Assist in troubleshooting and optimizing deployed systems. Documentation and Standards: Establish and enforce best practices for code quality, documentation, and model management within the team. Required Skills 2+ years of experience in speech processing, machine learning, and model deployment. Demonstrated expertise in leading projects and teams. Technical skills: • Excellent knowledge in Python / Java programming. • In-depth knowledge of speech processing frameworks like, Wave2vec, Kaldi, HTK, DeepSpeech and Whisper. • Experience with NLP, STT, Speech to Speech LLMs and frameworks like Nvidia NEMO, PyAnnote. • Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or Keras. • Experience with large-scale ASR systems, speaker recognition, and diarization algorithms. • Strong understanding of neural networks, sequence-to-sequence models, transformers and attention mechanisms. • Familiarity with NLP techniques and their integration with speech systems. • Expertise in deploying models on cloud platforms and optimizing for real-time applications. Good to have: • Experience with low-latency streaming ASR systems. • Knowledge of speech synthesis, STT (Speech-to-Text) and TTS (Text-to-Speech) systems. • Experience in multilingual and low-resource speech processing.