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Niche Speech AI specialization lowers applicant density, but mid-level experience and Hyderabad metro increase competition.
Role demands speech/audio and DSP expertise, making cross-industry transferability limited.
Explicit 4+ years requirement plus specialized Speech AI, DSP, and deployment skills imply strict shortlisting.
Develop, optimize, and deploy speech/audio AI models spanning ASR, TTS, and speech enhancement for real-time and low-latency applications.
Formulate research problems, design experiments, analyze model performance, and transition solutions from prototype to production.
Optimize models for edge and embedded deployment using quantization, pruning, and inference tools, with profiling across CPU/GPU/NPU platforms.
4+ years of hands-on experience in Speech AI, Audio AI, or Voice AI.
Bachelor’s, Master’s or PhD in AI/ML, CSE, ECE, or related fields.
Strong programming skills in Python and experience with PyTorch and/or TensorFlow.
Strong fundamentals in Machine Learning, Deep Learning (CNNs, RNNs, LSTMs, Transformers), Digital Signal Processing, and related mathematical foundations.
Experienced in research and production engineering combination with independent experiment design and model debugging skills.
Knowledgeable in modern speech AI architectures (e.g., Transformer, Conformer, RNN-T, Diffusion Models) and generative AI techniques including GANs and diffusion models.
Skilled in model optimization for real-time, embedded, and edge environments with proficiency in C/C++ and CUDA preferred for deployment efficiency.