Freelance ML Engineer | Speech Model Training, Quantization

19 hours ago

Dindigul, India eniac Full time

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 Proven experience in training and deploying speech or LLM-based models Strong understanding of quantization and inference optimization Hands-on with vLLM, Ray, MLflow, Docker, and Kubernetes Familiarity with FastAPI and Triton Inference Server is a plus Ability to independently manage end-to-end ML pipelines Commitment 10–12 hours per week Remote and flexible schedule Flexible hourly pricing based on experience and project scope 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 or message me directly here on .

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