Data Scientist

Role Overview: As an experienced Data Scientist with expertise in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), your role will involve developing, fine-tuning, and deploying LLMs for various applications. You will also be responsible for implementing RAG-based systems to enhance AI-powered search and retrieval, working with vector databases and embeddings to improve AI responses, and optimizing and deploying AI models using GPU acceleration and cloud services. Additionally, you will preprocess and analyze large-scale structured and unstructured data, collaborate with engineers and domain experts to integrate AI solutions into products, and stay updated with the latest advancements in Generative AI and ML. Key Responsibilities: - Develop, fine-tune, and deploy LLMs for various applications. - Implement RAG-based systems to enhance AI-powered search and retrieval. - Work with vector databases and embeddings to improve AI responses. - Optimize and deploy AI models using GPU acceleration and cloud services. - Preprocess and analyze large-scale structured and unstructured data. - Collaborate with engineers and domain experts to integrate AI solutions into products. - Stay updated with the latest advancements in Generative AI and ML. Qualification Required: - Strong experience in LLMs, RAG, and Generative AI. - Proficiency in Python, PyTorch, TensorFlow, or LangChain. - Knowledge of transformers, embeddings, and fine-tuning open-source models. - Experience with Vector Databases (FAISS, ChromaDB, Weaviate, etc.). - Familiarity with cloud platforms (AWS, GCP, Azure) for AI deployment. - Strong problem-solving and algorithmic skills. Additional Details (if present): If you are passionate about AI and possess the required skills and qualifications, apply now by sending your resume to Sachin@unicornisai.com.,