Data Scientist

Data Scientist LLM RoleThe ideal candidate will have a strong background in natural language processing (NLP), deep learning, and experience with large-scale model training. This role requires expertise in model architecture, optimization techniques, and the ability to work with cross-functional teams to integrate AI solutions into products.Key Responsibilities:Design and develop LLMs for specific use cases, including but not limited to text generation, summarization, and conversational agents.Prompt engineer pre-trained LLMs on domain-specific data to optimize performance for target applications.Develop RAG based applications.Collaborate with data scientists, engineers, and product teams to integrate LLM capabilities into existing systems and platforms.Optimize model performance in terms of accuracy, speed, and resource utilization.Ensure the ethical use of AI models and implement fairness, accountability, and transparency measures.Required Qualifications:Strong grasp of NLP concepts such as tokenization, embeddings, attention mechanisms, and sequence modeling.Experience in handling domain adaptation, multi-task learning, and transfer learning.Experience with popular deep learning frameworks (e.g., TensorFlow, PyTorch).Proven track record of prompt engineering, RAG system development and fine-tuning large pre-trained models (e.g., GPT, BERT, T5, etc.).