
Speech AI Data Scentst
4 weeks ago
Position : Speech Data Scientist
Experience Level : 3-6 years
Location : Bangalore, India
Key Responsibilities :
Core Development & Implementation :
- Design and implement end-to-end speech analytics pipelines for production environments
- Develop ASR engines using state-of-the-art frameworks (Wav2vec, Whisper, Deep Speech) with PyTorch or TensorFlow
- Build and optimize speaker diarization, language identification (LID), and text post-processing systems
- Focus on multilingual audio processing capabilities
- Lead data selection strategies for domain adaptation and model optimization
Model Development & Enhancement :
- Develop and analyze objective measures for speech quality evaluation and enhancement
- Implement speaker-conditioned personalization techniques for improved ASR accuracy in noisy environments
- Optimize on-device ASR models with emphasis in multilanguage scenarios
- Guide teams on best practices for model accuracy improvement and performance optimization
Research & Innovation :
- Conduct research on advanced speech processing techniques including neural speech enhancement
- Develop novel approaches for complex audio scenarios and multi-speaker environments
- Contribute to patent applications and research publications in speech technology
- Stay current with latest developments in transformer models, attention mechanisms, and foundation models
Technical Integration & Deployment :
- Design integration architectures for speech-to-text services and supporting technologies
- Implement MLOps processes and CI/CD pipelines for speech models
- Deploy and scale speech solutions on cloud platforms (AWS, GCP)
- Develop production-ready applications using Python, C++, and Java
Required Qualifications :
Educational Background :
- Ph.D/M.S./M.Tech in relevant field (Computer Science / Signal Processing) preferred
- B.Tech/B.E in ECE, CSE, or related technical field
Technical Expertise :
Core Speech Processing :
- 3-6 years of hands-on experience in speech recognition and processing
- Deep understanding of classical methodologies : HMMs, GMMs, ANNs, Language modeling
- Expertise in modern deep learning techniques : CNNs, RNNs, LSTMs, CTC, Attention mechanisms
- Strong background in digital signal processing and audio analysis
Machine Learning & Deep Learning :
- Proficiency with PyTorch and TensorFlow frameworks
- Experience with transformer models (BERT, Wav2vec 2.0, Wisper)
- Knowledge of end-to-end ASR implementation and optimization
- Understanding of foundation models and transfer learning approaches
Programming & Tools :
- Strong Python programming skills with ML/DL libraries (numpy, pandas, scikit-learn)
- Experience with C++ and Java for production implementations
- Proficiency in bash scripting and automation
- Familiarity with version control (Git) and collaborative development
Cloud & Deployment :
- Hands-on experience with cloud platforms (AWS, GCP)
- Knowledge of containerization (Docker, Kubernetes)
- Experience with MLOps tools and CI/CD pipelines
- Understanding of model serving and scalability considerations
Preferred Qualifications :
Advanced Experience :
- Experience with multilingual and code-switched speech processing
- Knowledge of speaker verification, diarization, and voice biometrics
- Familiarity with speech synthesis and voice conversion techniques
- Experience with edge computing and on-device model optimization
Research & Publications :
- Published research in speech processing conferences or journals
- Patent applications in speech technology domain
- Active participation in speech technology communities
Specialized Skills :
- Experience with Indian languages and accent adaptation
- Knowledge of noise robustness and speech enhancement techniques
- Understanding of confidence scoring and uncertainty quantification
- Experience with real-time speech processing systems
What We Offer :
- Opportunity to work on cutting-edge speech AI technology & patented speech insight products
- Collaborative environment with experienced speech technology experts
- Chance to contribute to products impacting millions of users
- Professional development and conference participation opportunities
- Competitive compensation and benefits package
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