Speech AI Data Scientist

Position : Speech Data ScientistExperience Level : 3-6 yearsLocation : Bangalore, IndiaKey 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 optimizationModel 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 optimizationResearch & 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 modelsTechnical 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 JavaRequired 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 fieldTechnical 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 analysisMachine 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 approachesProgramming & 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 developmentCloud & 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 considerationsPreferred 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 optimizationResearch & Publications :- Published research in speech processing conferences or journals- Patent applications in speech technology domain- Active participation in speech technology communitiesSpecialized 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 systemsWhat 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 (ref:hirist.tech)