

Trinus Corporation
Machine Learning Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
June 26, 2026
π - Duration
More than 6 months
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ποΈ - Location
Remote
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π - Contract
Unknown
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π - Security
Unknown
-
π - Location detailed
United States
-
π§ - 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 βPyTorchβ 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
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 βPyTorchβ 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






