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Audio Machine Learning Engineer (Voice AI)
AI Product Company
Audio Machine Learning Engineer (Voice AI)
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Audio Machine Learning Engineer (Voice AI)

at AI Product Company

Agency job
3 - 8 yrs
₹30L - ₹50L / yr
Hyderabad
Skills
Audio engineering
Speech recognition
Text-to-Speech (TTS)
Speech-to-Text (STT)
skill iconDeep Learning
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
Voice recognition
Voice processing
Transformer
Huggingface
Hugging Face Transformers
PyTorch
TensorFlow
skill iconPython
skill iconC
skill iconC++
Audio production
Convolutional Neural Network (CNN)
Recurrent neural network (RNN)
Long short-term memory (LSTM)
ASR
Linear algebra
Audio mixing
Statistical Modeling
Pattern recognition
Agentic AI

Job Description


Qualified applicants with experience in the following role or comparable job titles are encouraged to apply:


  • Audio AI Engineer
  • Speech AI Engineer
  • Audio Software Engineer
  • Speech Processing Engineer
  • Audio Machine Learning Engineer
  • Machine Learning Engineer – Speech
  • AI Engineer – Audio
  • Speech Processing Engineer
  • Research Engineer – Speech AI
  • Research Scientist – Speech
  • Speech Recognition Engineer
  • ASR Engineer
  • Automatic Speech Recognition Engineer
  • Voice AI Engineer
  • Speech Scientist
  • Audio Research Engineer
  • Audio Systems Engineer
  • Audio Software Engineer
  • Audio R&D Engineer
  • Speech Research Engineer
  • Audio DSP Engineer
  • Voice Processing Engineer
  • Acoustic AI Engineer
  • Research Engineer – Speech AI
  • Research Scientist – Speech
  • AI Engineer – Speech
  • AI Engineer – Audio


Requirement:


a) Working on Design, Development, testing and deployment of different speech enhancement products using frameworks like PyTorch and TensorFlow.

b) Working on enhancing existing speech enhancement products w.r.t

performance, low latency and less computation.

c) Work on improvement of adapting the model to multi channels.

d) Should be self-motivated to learn and explore new areas and able to work independently and contribute


Experience

a) Good understanding of signal processing and machine learning.

b) Hands-on experience with Deep Learning techniques like CNNs, RNNs, LSTMs, Transformers, etc., for speech processing is essential.

c) Good understanding of: Linear algebra, Optimization techniques, Statistics and pattern recognition

d) Minimum 3 years of work experience in the Audio/Speech domain

e) Good programming skills in C/C++, Python, AI/ML frameworks.


Qualification

Bachelor's / Master’s Degree from AI/ML, CSE, ECE, or PhD


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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