Trinus Corporation

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a 6+ month contract, offering remote work. Key skills include Python, C++, ML/DL techniques, and experience with Speech Technologies. Familiarity with PyTorch, Git, and GPU technologies is essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
June 26, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Deep Learning #"ETL (Extract #Transform #Load)" #PyTorch #RNN (Recurrent Neural Networks) #Neural Networks #Signal Processing #Cloud #C++ #Transformers #GitLab #GIT #Python #Normalization #Version Control #ML (Machine Learning) #Programming #AI (Artificial Intelligence) #Data Science #Embedded Systems
Role description
Job Title: AI / ML Engineer - Machine Learning Engineer Location: Remote Start/End Dates: 6 Months+ Job Description: We're looking for Speech Data Scientists (Contract) to develop high-impact, high-visibility Speech AI product "Riva" & improve the experience of millions of customers. β€’ Excellent programming skills in Python and C++. β€’ Strong fundamentals in Programming, optimizations and Software design. β€’ Strong knowledge of ML/DL techniques, algorithms and tools with exposure to CNN, RNN (LSTM), Transformers. β€’ Knowhow of Deep learning applications to Speech synthesis, LLM, and Speech-to-speech translations. β€’ Hands-on experience on Speech Technologies like Speech Synthesis, voice cloning, etc. β€’ Experience with Training of speech models. β€’ Experience with β€œPyTorch” Deep Learning Frameworks. β€’ Exposure to basic speech digital signal processing and feature extraction techniques like FFT, MFCC, Mel Spectrogram, etc. β€’ General background around version control and code review tools like Git, Gerrit, Gitlab β€’ Experience developing multilingual code-switched TTS, voice cloning, and cross-lingual voice cloning β€’ Experience developing WFST and Neural networks-based Text-Normalization and Inverse Text-Normalization β€’ Experience working with G2P systems for multiple languages β€’ Strong personal interest in learning, researching, and creating new technologies related to foreign languages, linguistics, phonetics, phonology and language technology β€’ Feeling comfortable and motivated when working in a fast paced, highly collaborative, dynamic work environment β€’ Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT β€’ Background with deploying machine learning models on data center, cloud, and embedded systems