ML Engineer - Audio Development

2025 January 18

The role involves developing and operating machine learning models related to speech recognition and natural language processing (NLP), as well as backend development to provide the developed ML models as services. The focus is on delivering value to users promptly rather than solely on research of the latest technologies. Flexibility is required when considering the use of external ML APIs instead of rigidly adhering to in-house model development. Key Responsibilities: - Proof of Concept (PoC) for ML models. - Research, experimentation, and modification for improving the accuracy of existing models. - Backend development to serve ML models in a production environment. Development Environment: - Languages: Python (for ML), Python and TypeScript (for backend). - ML Libraries: scikit-learn, PyTorch. - Infrastructure: AWS. - Code management: GitHub. - CI: GitHub Actions.

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