Machine Learning Engineer

• Extend TTS to new languages through data collection and curation, text normalization/G2P, and model adaptation
• Take new TTS architectures from research to production
• Improve model robustness, latency, and quality in close collaboration with MLOps on deployment
• Push existing models further through post-training, data curation, architectural improvements, and new training approaches
• Build efficient audio data pipelines from speaker recording and preprocessing through model training
• Design rigorous benchmarks and evaluations to determine whether new model iterations are better and why
• Join a small TTS team of 2–3 ML engineers supported by a dedicated MLOps team and a data engineer

Explore Machine Learning Engineer, TTS at Aiphoria. Review requirements and application details.

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