Data Scientist

3 days ago

Bengaluru, India Flairchase Full time

Description : Speech Data Scientist 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 JavaEducational Background :- Ph.D/M.Tech/M.S 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 considerations (ref:hirist.tech)

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