The Dignify Solutions, LLC
GEN AI LLM Data Scientist - Onsite
The Dignify Solutions, LLC, Raritan, New Jersey, us, 08869
Overview
Mid-Senior level, Full-time role in IT Services and IT Consulting focusing on generative AI and NLP with LLM technologies. Responsibilities
Apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence. Utilize extensive knowledge and expertise in machine learning (Client) with a focus on generative models, including GANs, VAEs, and transformer-based architectures. Design and implement state-of-the-art generative models for NLP tasks such as text generation, text completion, language translation, and document summarization. Prepare data: evaluate and preprocess large-scale datasets, ensure data quality and integrity, and develop data pipelines for training and evaluation of generative models. Develop model development, model serving, and training/re-training techniques in data-sparse environments. Experience with prompt engineering techniques in developing instruction-based LLMs. Collaborate with software engineers to deploy and optimize generative models in production environments, considering scalability, efficiency, and real-time performance. Collaborate with cross-functional teams to identify business requirements and deliver solutions that meet customer needs. Stay updated with the latest advancements in generative AI and LLMs. Qualifications
Must have 12+ 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. Solid understanding of model development, model serving, and 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 NLP tasks such as text generation, text completion, language translation, and document summarization. Nice to have: contributions to the research community through publications, presentations, and participation in relevant conferences or workshops. Nice to have: provide guidance to junior data scientists and contribute to the growth of the data science team. Note: This description retains the core job requirements and responsibilities. Other postings or non-essential boilerplate have been removed for clarity. #J-18808-Ljbffr
Mid-Senior level, Full-time role in IT Services and IT Consulting focusing on generative AI and NLP with LLM technologies. Responsibilities
Apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence. Utilize extensive knowledge and expertise in machine learning (Client) with a focus on generative models, including GANs, VAEs, and transformer-based architectures. Design and implement state-of-the-art generative models for NLP tasks such as text generation, text completion, language translation, and document summarization. Prepare data: evaluate and preprocess large-scale datasets, ensure data quality and integrity, and develop data pipelines for training and evaluation of generative models. Develop model development, model serving, and training/re-training techniques in data-sparse environments. Experience with prompt engineering techniques in developing instruction-based LLMs. Collaborate with software engineers to deploy and optimize generative models in production environments, considering scalability, efficiency, and real-time performance. Collaborate with cross-functional teams to identify business requirements and deliver solutions that meet customer needs. Stay updated with the latest advancements in generative AI and LLMs. Qualifications
Must have 12+ 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. Solid understanding of model development, model serving, and 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 NLP tasks such as text generation, text completion, language translation, and document summarization. Nice to have: contributions to the research community through publications, presentations, and participation in relevant conferences or workshops. Nice to have: provide guidance to junior data scientists and contribute to the growth of the data science team. Note: This description retains the core job requirements and responsibilities. Other postings or non-essential boilerplate have been removed for clarity. #J-18808-Ljbffr