Job Location: Hyderabad/Secunderabad
What you’ll be doing:
- Train Speech Synthesis Mel spectrogram and vocoder models.
- Measure and benchmark model performance.
- Maintain TTS model evaluation system
- Analyze model accuracy and bias and recommend the next course of action & Improvements.
- Improve processes for speech data processing, augmentation, filtering & TTS Training sets preparation.
- Gather knowhow on TTS datasets for training & evaluation.
- Characterize performance and quality metrics across platforms for various speech AI components.
- Collaborate with various teams on new product features and improvements of existing products.
- Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.
- Help innovate, identify problems, recommend solutions and perform triage in a collaborative team environment.
What we need to see:
- Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math
- 5+ years of experience
- Excellent programming skills in Python.
- Strong fundamentals in Programming, optimizations and Software design.
- Strong knowledge of ML/DL techniques, algorithms and tools with exposure to CNN, RNN (LSTM), Transformers.
- Know how of Deep learning applications to Speech and NLP.
- Hands-on experience on Speech Technologies like Speech Synthesis, Speech generative modelling, Text to Speech systems, Automatic Speech Recognition, Speech Command detection, Speaker Recognition and Identification, speaker diarization, Noise robustness Techniques, etc.
- Experience with Training of speech models.
- Experience with “PyTorch” Deep Learning Frameworks.
- Exposure to basic speech digital signal processing and feature extraction techniques like FFT, MFCC, Mel Spectrogram, etc.
- General background around version control and code review tools like Git, Gerrit, Gitlab.
- Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.
Ways to stand out from the crowd:
- Strong C++ programming skills.
- Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT
- Background with Dockers and Kubernetes
- Background with deploying machine learning models on data center, cloud, and embedded systems
- Native or near-native fluency in a non-English language – Spanish / Mandarin / German / Japanese / Russian / French / UK English / Arabic / Hindi / Korean / Italian / Portugues
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