Cutting-Edge AI Prototyping & Optimization
Budget: $750 – $1,500 USD
We are developing cutting-edge AI prototypes involving real-time video and voice processing, fine-tuning of advanced language models, and edge deployment optimization.
Should include the proof of experience.
Long-term collaboration opportunity.
# What We're Looking For
- A skilled AI/ML engineer who can work independently on complex deep learning projects
- Someone with proven experience in voice processing and language model fine-tuning
# Development Goals
- LLM fine-tuning and optimization
- Text-to-SQL model development
- File-to-Text model development
- Model quantization, compression, and acceleration
# Required Skills
- Deep Learning Implementation: Proficient in Python-based deep learning model implementation and evaluation, including experience with machine learning/deep learning model development and major libraries (numpy, pandas, etc.)
- RAG Technologies: Knowledge and experience with LangChain, LlamaIndex, and other RAG technologies
- Version Control & Team Development: Experience with Git version control and collaborative team development
- Deployment of edge functions on Supabase, Vercel
- Experience with using AI-guided coding like Cursor, Windsurf
- Hugging Face Experience: Practical experience with Hugging Face Transformers and Datasets
# Proof of experience
Link to a RAG system you've built (GitHub/deployed app)
Link to a Gradio app you've deployed on HF Spaces
Should include the proof of experience.
Long-term collaboration opportunity.
# What We're Looking For
- A skilled AI/ML engineer who can work independently on complex deep learning projects
- Someone with proven experience in voice processing and language model fine-tuning
# Development Goals
- LLM fine-tuning and optimization
- Text-to-SQL model development
- File-to-Text model development
- Model quantization, compression, and acceleration
# Required Skills
- Deep Learning Implementation: Proficient in Python-based deep learning model implementation and evaluation, including experience with machine learning/deep learning model development and major libraries (numpy, pandas, etc.)
- RAG Technologies: Knowledge and experience with LangChain, LlamaIndex, and other RAG technologies
- Version Control & Team Development: Experience with Git version control and collaborative team development
- Deployment of edge functions on Supabase, Vercel
- Experience with using AI-guided coding like Cursor, Windsurf
- Hugging Face Experience: Practical experience with Hugging Face Transformers and Datasets
# Proof of experience
Link to a RAG system you've built (GitHub/deployed app)
Link to a Gradio app you've deployed on HF Spaces