Job Location: Pune
What you’ll be doing:
- Build speech training data sets for text-to-speech (TTS) systems
- Develop WFST and Neural networks-based Text-Normalization and Inverse Text-Normalization
- Use and extend internal MLOps tooling to scale model development and automate cross-team work
- Apply data science techniques to characterize model performance and quality metrics across platforms for various speech AI components and identify areas for improvement
- Collaborate with other engineers and scientists in data collection and development efforts
- Write clear and concise documents (e.g. analysis reports)
- 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:
- Bachelor’s degree or Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math
- Knowledge of scripting languages (e.g. Python, bash)
- Knowledge of phonetics/phonology and ability to analyze/validate phonetic transcriptions
- Background with WFST
- Experience with Pytorch
- Experience with building ASR, NLP, and speech synthesis models
- Excellent written and spoken communication skills
- Experience with MLOPS workflows & traceability and versioning of datasets
- Understanding of MLOPS life cycle
- General background around version control and code review tools like Git, Gerrit.
- 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:
- Master’s in Computational Linguistics (or equivalent field with computational emphasis); alternatively, 2 years of experience in the field.
- Hands-on experience on Speech Technologies like Text to Speech, Automatic Speech Recognition, Speech Command detection etc
- Experience in writing grammars and building FSTs
- Strong personal interest in learning, researching, and creating new technologies related to foreign languages, linguistics, phonetics, phonology and language technology
- Feeling comfortable and motivated when working in a fast paced, highly collaborative, dynamic work environment
- Strong C++ programming skills.
- 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 / Portuguese
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