Artificial Intelligence Leader
2 weeks ago
We are seeking an experienced professional to lead the development and optimization of large language models (LLMs) and retrieval-augmented generation (RAG) techniques.
Key Responsibilities:- AI Solution Design: Develop and optimize AI solutions using LLMs (e.g., GPT-4, LLaMA, Falcon) and RAG frameworks.
- Model Implementation: Implement and fine-tune models to improve response relevance and contextual accuracy.
- Pipeline Development: Develop pipelines for data retrieval, indexing, and augmentation to enhance knowledge grounding.
- Vector Database Integration: Work with vector databases (e.g., Pinecone, FAISS, Weaviate) to enhance retrieval capabilities.
- AI Model Integration: Integrate AI models with enterprise applications and APIs.
- Performance Optimization: Optimize model inference for performance and scalability.
- Collaboration: Collaborate with data scientists, ML engineers, and software developers to align AI models with business objectives.
- Ethical Implementation: Ensure ethical AI implementation, addressing bias, explainability, and data security.
The ideal candidate will have hands-on experience in deploying, fine-tuning, and integrating LLMs with RAG architectures. Proficiency in Retrieval-Augmented Generation (RAG) techniques, Python, and ML libraries is a must. Experience with cloud platforms and MLOps workflows is also desired.
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