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VC-backed startup, metro location, and mid-level experience increase competition despite specialist speech focus.
Specialized ASR/TTS and multilingual voice agent expertise limits cross-industry transferability.
Explicit 4+ years requirement plus mandatory speech/LLM expertise and low-latency production experience.
Design, train, and optimize custom ASR/TTS models for Indian multilingual contexts, improving accuracy beyond existing solutions.
Develop real-time, low-latency conversational voice agents capable of handling interruptions, natural pauses, and voice variability.
Build and deploy advanced ML systems including Voice-to-Voice (V2V), Agentic RAG pipelines, and self-learning agents for continuous improvement in production environments.
Bachelor’s degree in Computer Science, AI/ML, or related field.
4+ years of hands-on ML engineering experience focused on speech/NLP systems.
Strong expertise in ASR, TTS, NLP, LLM fine-tuning, or dialogue systems.
Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX; experience with low-latency, real-time ML applications.
Experienced in building and deploying scalable, real-time ML solutions with strong operational awareness of lifecycle and deployment.
Specialized knowledge in speech technologies tailored for Indian multilingual and context-specific ASR/TTS systems.
Able to integrate state-of-the-art ML research into production features, collaborating effectively with product and engineering teams.