Təsvir

• Develop and fine-tune transformer-based models specifically for the Azerbaijani language.
• Work with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems to enhance AI-driven capabilities.
• Contribute to the development of AI applications, improving the accuracy and efficiency of language models and related technologies.
• Develop and optimize Retrieval-Augmented Generation (RAG) systems for improving information retrieval and response generation.
• Design and optimize algorithms for entity recognition, text summarization, and semantic search.

Tələblər

• 2+ years of professional experience in data science.
• Develop and implement NLP models for Azerbaijani language such as text classification, named entity recognition, sentiment analysis, text generation, and machine translation.
• Apply machine learning and deep learning techniques using frameworks like TensorFlow, PyTorch, and Hugging Face.
• Experience in fine-tuning and optimizing transformer-based models such as BERT, GPT, T5, LLaMA, and Claude.
• Strong understanding of prompt engineering and in-context learning.
• Experience in building and evaluating language models for domain-specific applications.
•  Hands-on experience in RAG pipeline development, indexing strategies, and integrating vector databases for NLP tasks.
• Understanding of FAISS, Pinecone, Weaviate, and other vector search databases.
• Experience with RNNs, LSTMs, Transformers, and Foundation Models.
• Knowledge of LoRA, Quantization, and Distillation techniques for efficient LLM deployment.
• Work with large-scale datasets, ensuring efficiency in training and inference.

Vakansiya haqqında

Vakansiya növü - Tam ştat

Maraqlanan namizədlər Müraciət et butonunda qeyd olunan linkə daxil olaraq müraciət edə bilərlər.