GenAI RAG Specialist
Freelancerprox
Date: 1 day ago
City: Remote
Contract type: Full time
Remote
Responsibilities
Custom LLM Development: Design and fine-tune models for specific use cases.
RAG Chatbots: Build intelligent chatbots leveraging vector search and external data sources.
Vector Embeddings: Create and optimize embeddings for semantic search with vector databases (e.g., Pinecone, FAISS).
Optimizations: Perform fine-tuning, compression, and latency optimization for scalable models.
Project Delivery: Lead end-to-end AI solution development.
Requirements
Programming: Expert in Python (PyTorch, TensorFlow, Hugging Face).
GenAI Expertise: Strong knowledge of LLMs, RAG, and generative AI.
Experience: 45 successful projects in RAG, fine-tuning, and embeddings.
Skills: Vector databases, deployment frameworks (Docker, Kubernetes), cloud platforms (AWS, GCP).
Communication: Excellent written and verbal skills.
Custom LLM Development: Design and fine-tune models for specific use cases.
RAG Chatbots: Build intelligent chatbots leveraging vector search and external data sources.
Vector Embeddings: Create and optimize embeddings for semantic search with vector databases (e.g., Pinecone, FAISS).
Optimizations: Perform fine-tuning, compression, and latency optimization for scalable models.
Project Delivery: Lead end-to-end AI solution development.
Requirements
Programming: Expert in Python (PyTorch, TensorFlow, Hugging Face).
GenAI Expertise: Strong knowledge of LLMs, RAG, and generative AI.
Experience: 45 successful projects in RAG, fine-tuning, and embeddings.
Skills: Vector databases, deployment frameworks (Docker, Kubernetes), cloud platforms (AWS, GCP).
Communication: Excellent written and verbal skills.
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