AI/ML Engineer - Speech Data Scientist

Akkodis 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 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

Requirements:

• 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, Gitlab
• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment
• Native or near-native fluency 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 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
• Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT
• Background with deploying machine learning models on data center, cloud, and embedded systems