ML Engineer - Audio & LLM Stack (Hands-On)

Zohorecruit; Singapore; Remote; SGD 90,000 - 130,000; Full time

Job summary

Slash Digital PTE. LTD. is seeking a hands-on Machine Learning Engineer to own and expand our AI stack, focusing on a physics-based harmonic vocal state engine and a dual-instance vLLM deployment on GCP.

You will work directly with the founder and lead developer, owning problems end-to-end from data processing to production-grade model deployment and evaluation, with a strong emphasis on SER and audio analytics.

Qualifications

• Proficiency in FFT and spectral features for audio analysis.
• Hands-on with wav2vec2, HuBERT, WavLM for SER models.
• Strong PyTorch and Python production coding skills.
• Experience with GCP and deploying ML models.
• Excellent written English for async collaboration.

Responsibilities

• Own the Harmonic Vocal State Engine from design to production.
• Build and maintain dual-instance vLLM infrastructure on GCP.
• Develop evaluation pipelines to detect regressions and monitor quality.

Skills

Audio signal processing

FFT & Fourier analysis

Audio libraries

PyTorch

Python

GCP & MLOps

vLLM deployment

Model evaluation

English communication

Tools

GCP

vLLM

FastAPI

Git

Job description

Slash Digital PTE. LTD. is seeking a hands-on Machine Learning Engineer to own and expand our AI stack, focusing on a physics-based harmonic vocal state engine and a dual-instance vLLM deployment on GCP.

You will work directly with the founder and lead developer, owning problems end-to-end from data processing to production-grade model deployment and evaluation, with a strong emphasis on SER and audio analytics.