Speech Architect
Speech Architect
Posted on :
18-06-2025
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1 Vacancy
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Job Description
Position Overview: As a Speech Architect you will lead the development of cutting-edge speech recognition and processing systems focusing on complex tasks such as speaker diarization automatic speech recognition (ASR) Sentiment/Emotion recognition and transcription. You will guide a team of engineers and collaborate closely with other departments to deliver high-impact solutions.
Key Responsibilities:
- Leadership:Lead and mentor a team of speech engineers providing technical guidance and ensuring the successful delivery of projects.
- System Design:Architect and design end-to-end speech processing pipelines from data acquisition to model deployment. Ensure systems are scalable efficient and maintainable.
- Advanced Modeling:Develop and implement advanced machine learning models for speech recognition speaker diarization and related tasks. Utilize state-of-the-art techniques such as deep learning transfer learning and ensemble methods.
- Research and Development:Conduct research to explore new methodologies and tools in the field of speech processing. Publish findings and present at industry conferences.
- Performance Optimization:Continuously monitor and optimize system performance focusing on accuracy latency and resource utilization.
- Collaboration:Work closely with product management data science and software engineering teams to define project requirements and deliver innovative solutions.
- Customer Interaction:Engage with customers to understand their needs and provide tailored speech solutions. Assist in troubleshooting and optimizing deployed systems.
- Documentation and Standards:Establish and enforce best practices for code quality documentation and model management within the team.
Qualifications:
- Education:Bachelors Masters or Ph.D. in Computer Science Electrical Engineering or a related field.
- Experience:5 years of experience in speech processing machine learning and model deployment. Demonstrated expertise in leading projects and teams.
- Technical Skills:
- In-depth knowledge of speech processing frameworks like Wave2vec Kaldi HTK DeepSpeech and Whisper.
- Experience with NLP STT Speech to Speech LLMs and frameworks like Nvidia NEMO PyAnnote.
- Proficiency in Python and machine learning libraries such as TensorFlow PyTorch or Keras.
- Experience with large-scale ASR systems speaker recognition and diarization algorithms.
- Strong understanding of neural networks sequence-to-sequence models transformers and attention mechanisms.
- Familiarity with NLP techniques and their integration with speech systems.
- Expertise in deploying models on cloud platforms and optimizing for real-time applications.
- Soft Skills:Excellent leadership and project management skills. Strong communication skills and ability to work cross-functionally.
- Preferred Qualifications:
- Experience with low-latency streaming ASR systems.
- Knowledge of speech synthesis STT (Speech-to-Text) and TTS (Text-to-Speech) systems.
- Experience in multilingual and low-resource speech processing.
Employment Type
Full-Time
Key Skills
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