AI Image/Video Engineer
Budget: $1,500 – $3,000 USD
What you'll do
Design and optimize AI image/video generation pipelines for high-concurrency inference
Integrate and fine-tune open-source video generation models (e.g. Wan2.2, CogVideoX)
Optimize GPU inference performance using TensorRT, xformers, and quantization techniques
Implement LoRA-based fine-tuning for character consistency and style customization
Collaborate with ML researchers to accelerate the path from research to production
Requirements
5+ years of AI/ML engineering experience
Hands-on experience with video or image generation systems in production
Strong PyTorch skills; experience with Diffusers and DiT architectures
Solid understanding of GPU inference optimization (TensorRT, xformers, quantization)
Practical LoRA fine-tuning experience, including hyperparameter tuning and overfitting control
Ability to independently build and deploy inference API services (Python / Node.js)
Design and optimize AI image/video generation pipelines for high-concurrency inference
Integrate and fine-tune open-source video generation models (e.g. Wan2.2, CogVideoX)
Optimize GPU inference performance using TensorRT, xformers, and quantization techniques
Implement LoRA-based fine-tuning for character consistency and style customization
Collaborate with ML researchers to accelerate the path from research to production
Requirements
5+ years of AI/ML engineering experience
Hands-on experience with video or image generation systems in production
Strong PyTorch skills; experience with Diffusers and DiT architectures
Solid understanding of GPU inference optimization (TensorRT, xformers, quantization)
Practical LoRA fine-tuning experience, including hyperparameter tuning and overfitting control
Ability to independently build and deploy inference API services (Python / Node.js)
Related categories:
Python
Machine Learning (ML)
Node.js
AI Model Development
Generative Model
AI Model Integration
AI Development