Speech Engineer
- Businessnext
- 2 - 5 years
- Noida, Gurugram
- 12 days ago
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Job Description
What would you do?
- 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.
Required Skills
2+ years of experience in speech processing, machine learning, and model deployment. Demonstrated expertise in leading projects and teams.
Technical skills:
Excellent knowledge in Python / Java programming.
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.
Good to have:
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.
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: BusinessnextLocation(s): Noida, Gurugram
Keyskills: Tensorflow Pytorch Stt Speech Recognition transfer learning deep speech Natural Language Processing model deployment Data Acquisition Machine Learning Deep Learning Sts speech processing whisper text to speech
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Businessnext
Sardonyx was established in the year 2006. Our service offerings are designed to provide total IT solutions by helping our clients generate revenue, reduce costs and access the information necessary to operate their business on a timely basis. \r\n \r\nWe have proven track record for providing compl...
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