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Metro Bangalore location and mid-level experience raise applicant density despite niche speech specialization.
Highly speech-ML and telephony-specific skills reduce cross-industry transferability.
Explicit 2–3 years plus mandatory speech/ML and integration skills create strict filtering.
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Own end-to-end technical onboarding, accuracy validation, debugging, and production quality for customers integrating ASR/TTS speech APIs.
Design and build custom speech solutions and pipelines tailored to enterprise needs, including demos, POCs, and integrations.
Run structured benchmarking and quality checks on speech models and act as the technical voice for the developer community, feeding insights back to product and research teams.
1-4 years of relevant experience, including 2-3 years building speech/ML products or in customer-facing technical roles with API integration.
Hands-on experience with speech technologies such as ASR, TTS, or speech-related product development or integrations.
Strong technical communication skills and customer-facing experience to handle onboarding, issue resolution, and technical advocacy.
Proficiency in Python and API integration patterns including REST, gRPC, or WebSocket clients.
Experience with streaming and batch ASR, TTS, and real-time audio integrations, especially in multilingual Indian language contexts.
Familiarity with speech model evaluation metrics like WER, CER, MOS, latency, and real-time factors to explain technical results to customers.
Comfortable designing and implementing fair benchmark tests across languages, accents, and domains, and translating ambiguous requirements into technical solutions.