R

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

Recruitingbond · Hyderabad, Telangana, India

Staffing and Recruiting · 2-10 employees

4 h ago
Mid (2-5 yrs) Full-time India
Log in to apply, save this posting, or score it against your profile with AI.

About the role

Design, develop, test, and deploy speech enhancement products using PyTorch and TensorFlow frameworks. Improve existing models for better performance, lower latency, and multi-channel adaptation.

What they look for

PyTorch TensorFlow Speech Enhancement Signal Processing Machine Learning Deep Learning CNNs RNNs LSTMs Transformers Linear Algebra Optimization Techniques Statistics Pattern Recognition C++ Python

Requirements

Requires a minimum of 3 years of experience in the Audio/Speech domain with strong proficiency in signal processing and deep learning techniques. Candidates must hold a Bachelor's, Master's, or PhD degree in a relevant technical field such as AI/ML, CSE, or ECE.

Full description

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