Advanced AI Music Collaboration Platform
Budget: $250 – $750 CAD
Title:
AI + DSP Audio Engine for Music Platform – Python / PyTorch / Signal Processing Experts Wanted
Project Description:
We are developing an advanced AI-powered music collaboration platform — a system that intelligently recognizes, aligns, and mixes thousands of human vocals recorded globally.
This is not a standard audio app. It is a deep-technology project combining Digital Signal Processing (DSP), AI/ML, and scalable backend engineering.
We are seeking skilled engineers to support the completion and optimization of the DSP core and backend infrastructure.
Your Role
Develop and optimize modules for:
Noise reduction and dereverberation
Pitch tracking and formant correction
Multi-user vocal alignment (CQT, DTW, NCC)
AI-driven mixing and mastering (LUFS normalization, stereo correlation, psychoacoustic QC)
Implement neural models using PyTorch, torchaudio, and librosa
Integrate with FastAPI or NodeJS backends and deploy to AWS
Optimize latency, throughput, and reliability for large-scale audio data
Required Skills
Strong experience with Python, NumPy, SciPy, PyTorch, and librosa
Solid understanding of Digital Signal Processing (FFT, spectral analysis, filters, time/pitch algorithms)
Familiarity with AI-based audio systems (voice isolation, dereverb, tuning, enhancement)
Experience with AWS, Docker, and CI/CD
(Optional) Experience integrating with React, Flutter, or Web Audio API
Engagement Details
Remote work with GSK Productions Inc. (Canada) and GSK India Engineering Team
Immediate start after onboarding
Long-term engagement (6–12 months) with milestone-based payments
Competitive hourly or fixed rates depending on expertise
To Apply
Please include:
Links to relevant audio / DSP / AI projects or GitHub repositories
A brief summary of your DSP or AI experience
Your availability and expected hourly or milestone rate
Director – GSK Productions Inc. (Canada)
Recommended Skill Tags
Python | PyTorch | Digital Signal Processing | Audio Processing | Machine Learning | FastAPI | AWS | Docker | AI Development | Signal Analysis | Music Technology
AI + DSP Audio Engine for Music Platform – Python / PyTorch / Signal Processing Experts Wanted
Project Description:
We are developing an advanced AI-powered music collaboration platform — a system that intelligently recognizes, aligns, and mixes thousands of human vocals recorded globally.
This is not a standard audio app. It is a deep-technology project combining Digital Signal Processing (DSP), AI/ML, and scalable backend engineering.
We are seeking skilled engineers to support the completion and optimization of the DSP core and backend infrastructure.
Your Role
Develop and optimize modules for:
Noise reduction and dereverberation
Pitch tracking and formant correction
Multi-user vocal alignment (CQT, DTW, NCC)
AI-driven mixing and mastering (LUFS normalization, stereo correlation, psychoacoustic QC)
Implement neural models using PyTorch, torchaudio, and librosa
Integrate with FastAPI or NodeJS backends and deploy to AWS
Optimize latency, throughput, and reliability for large-scale audio data
Required Skills
Strong experience with Python, NumPy, SciPy, PyTorch, and librosa
Solid understanding of Digital Signal Processing (FFT, spectral analysis, filters, time/pitch algorithms)
Familiarity with AI-based audio systems (voice isolation, dereverb, tuning, enhancement)
Experience with AWS, Docker, and CI/CD
(Optional) Experience integrating with React, Flutter, or Web Audio API
Engagement Details
Remote work with GSK Productions Inc. (Canada) and GSK India Engineering Team
Immediate start after onboarding
Long-term engagement (6–12 months) with milestone-based payments
Competitive hourly or fixed rates depending on expertise
To Apply
Please include:
Links to relevant audio / DSP / AI projects or GitHub repositories
A brief summary of your DSP or AI experience
Your availability and expected hourly or milestone rate
Director – GSK Productions Inc. (Canada)
Recommended Skill Tags
Python | PyTorch | Digital Signal Processing | Audio Processing | Machine Learning | FastAPI | AWS | Docker | AI Development | Signal Analysis | Music Technology