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Semantic Search Engineer
19 hours ago
Freelancerprox is seeking a seasoned Semantic Search Engineer to join our AI development team. As a key contributor, you'll focus on creating and optimizing embeddings for semantic search with vector databases.
To excel in this role, you should have extensive experience working with Python (PyTorch, TensorFlow, Hugging Face) and a deep understanding of LLMs, RAG, and generative AI. Familiarity with vector databases, deployment frameworks, and cloud platforms is also essential.
Key Responsibilities:
- Create and optimize embeddings for semantic search with vector databases
- Fine-tune LLMs for optimal performance in various applications
- Develop RAG chatbots that leverage vector search and external data sources
- Optimize models for scalability and latency
Requirements:
- Programming skills: 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)
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