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.

Required Skill Set

Guardrails generative adversarial networks variational autoencoders

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