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Open nowPosted 96 days ago

Audio Machine Learning Engineer (Voice/Speech AI) - Hyderabad

Recruitingbond6 open roles

Where
Hyderābād, India
Work mode
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Your applicationOpen nowAudio Machine Learning Engineer (Voice/Speech AI) - HyderabadRecruitingbond · Hyderābād, India
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The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. Recruitingbond postings stay open a median of 14 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted 96 days ago

Recruitingbond median: 14 days open

The posting

Job Description

Qualified applicants with experience in the following roles 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

Key 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

Required 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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