Description

• Must have 10+ years of experience working in Data science, Machine learning and especially NLP technologies.
• Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks.
• Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence.
• Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures.
• Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment.
• Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.
• Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization.
• Passionate to learn and stay updated with the latest advancements in generative AI and LLM.