Freelance ML Engineer | Speech Model Training, Quantization & Deployment

Job Description

geteniac.tech is looking for a freelance Machine Learning Engineer to help train, optimize, and deploy speech models for client projects.

You’ll work on preparing and serving customized speech-to-text and text-to-speech models, ensuring low latency, high reliability, and seamless integration into production environments.

Responsibilities

• Train and fine-tune open-source speech models such as Whisper, Wav2Vec2, or MMS
• Quantize models (INT8, FP16, GGUF, TensorRT, etc.) for optimized inference performance
• Deploy models with low latency using scalable serving infrastructure
• Manage ML lifecycle including experiment tracking and model versioning
• Utilize vLLM, Ray, and MLflow to ensure robust and efficient deployment pipelines

Requirements

Commitment

About Geteniac

geteniac.tech helps businesses automate phone calls with AI . From instant phone number generation to natural, AI-driven conversations, our platform enables companies to manage inbound and outbound calls efficiently and at scale.

We’re now expanding our capabilities with custom speech model deployments to meet specific client requirements.

How to Apply

If you have relevant experience and want to work on real-world speech model projects, reach out at ranga.sumit1999@gmail.com or message me directly here on LinkedIn.