Speech Data Scientist
1 week ago
Core Speech Processing
- 5 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
Skills: automatic speech recognition,tensorflow,docker,transformers for asr,lstm,language modeling,mlops,digital signal processing,python,ctc loss,attention mechanisms,kubernetes,rnn,pytorch
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Speech Data Scientist
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