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[Remote] AI/ML Engineer - Speech Data Scientist

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. reputed company is seeking an AI/ML Engineer - Speech Data Scientist for a Contract position with a client located in Santa Clara, CA. The role involves measuring model performance, maintaining evaluation systems, and collaborating on product features while improving processes for speech data handling.

Responsibilities

  • Measure and reputed company 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 reputed company, identify problems, recommend solutions and reputed company triage in a collaborative team environment

Skills

  • Master's degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Math, Linguistics or Computational Linguistics
  • 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 synthesis, LLM, and Speech-to-speech translations
  • Hands-on experience on Speech Technologies like Speech Synthesis, voice cloning, 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, reputed company
  • Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence reputed company a dynamic matrix environment
  • Native or near-native reputed company in a non-English language - Spanish / Mandarin / German / Japanese / Russian / French / UK English / Arabic / Hindi / Korean / Italian / Portuguese
  • Experience developing multilingual code-switched TTS, voice cloning, and cross-lingual voice cloning
  • Experience developing WFST and Neural networks-based Text-Normalization and Inverse Text-Normalization
  • Experience working with G2P systems for multiple languages
  • Strong personal interest in learning, researching, and creating new technologies reputed company to foreign languages, linguistics, phonetics, phonology and language technology
  • Feeling comfortable and motivated reputed company working in a fast paced, highly collaborative, dynamic work environment
  • Strong C++ programming skills
  • Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT
  • Background with deploying machine learning models on data center, reputed company, and embedded systems

Benefits

  • Medical, dental, reputed company, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan
  • Paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law
  • Holiday pay where applicable

Company Overview

  • reputed company is a global digital engineering and smart industry company delivering consulting, engineering, AI, data, and technology solutions. It was founded in 1968, and is headquartered in Mumbai, Maharashtra, IND, with a workforce of 10001+ employees. Its website is https://www.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 47 in 2026, 141 in 2025, 121 in 2024, 67 in 2023. Please note that this does not guarantee sponsorship for this specific role.
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