Senior Data Scientist

Senior Data Scientist Speech, Voice & Conversational AI Apply Now Department: Data Science & AI Experience: 12 – 15 Years

We are seeking a highly experienced Senior Data Scientist – Speech, Voice & Conversational AI to lead the architecture, design, and delivery of next-generation voice and speech AI solutions. This role sits at the intersection of deep machine learning expertise and practical product engineering, driving end-to-end voice AI capabilities across Firstsource’s service lines. The ideal candidate brings 12–15 years of progressive experience in data science with a strong specialization in speech and voice technologies, along with hands-on expertise in Generative AI, Agentic AI frameworks, and modern voice pipeline tooling. You will act as a technical thought leader, shaping our voice AI strategy, mentoring teams, and collaborating with cross-functional stakeholders to deliver production-grade solutions at scale.

Voice & Speech AI Architecture • Design and own the end-to-end architecture for voice AI solutions including real-time speech-to-text (STT), text-to-speech (TTS), voice-to-voice, speaker diarization, emotion detection, and voice biometrics. • Evaluate, benchmark, and integrate leading speech platforms and APIs such as Google Cloud Speech, Amazon Transcribe, Azure Speech Services, Whisper (OpenAI), Deepgram, AssemblyAI, ElevenLabs, and PlayHT. • Build robust voice pipelines that handle noise cancellation, language identification, accent adaptation, and real-time streaming at production scale. Generative AI & Agentic AI • Architect and deploy GenAI-powered conversational agents leveraging Large Language Models (LLMs) such as GPT-4, Claude, Gemini, and open-source alternatives (LLaMA, Mistral). • Design Agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel to build multi-step, tool-using voice agents. • Implement Retrieval-Augmented Generation (RAG) pipelines with vector databases (Pinecone, Weaviate, Qdrant, Chroma) for context-aware voice assistants. • Drive prompt engineering strategies and fine-tuning approaches (LoRA, QLoRA, RLHF) to optimize LLM performance for speech-centric use cases. Solution Design & Delivery • Lead solution design workshops with clients and internal stakeholders to translate business