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. Rate Range: $55-$60/hr on W2, The rate may be negotiable based on experience, education, geographic location, and other factors Title: AI/ML Engineer - Speech Data Scientist Job Types: Contract Location: United States (Remote) What you’ll be doing: • 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, 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. Ways to stand out from the crowd: • 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 Benefits: Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance