The Dignify Solutions, LLC · 1 month ago
GENERATIVE AI ARCHITECT
Raritan, NJ
Full-time
Onsite
Senior Level, Lead/Staff
15+ years expThe Dignify Solutions, LLC is seeking a Generative AI Architect with extensive experience in data science and machine learning, particularly in NLP technologies. The role involves designing and implementing state-of-the-art generative models for various NLP tasks while collaborating with cross-functional teams to meet customer needs.
Bookkeeping and PayrollHuman ResourcesRecruitingStaffing AgencyTraining
Responsibilities
Must have 15+ 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 (Client) 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
Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs
Passionate to learn and stay updated with the latest advancements in generative AI and LLM
Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops
Exposure to developing Guardrails for LLMs both with open source and cloud native models
Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team
Qualification
Required
15+ 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 extensive knowledge and expertise in machine learning 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
Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs
Passionate to learn and stay updated with the latest advancements in generative AI and LLM
Exposure to developing Guardrails for LLMs both with open source and cloud native models
Preferred
contributions to the research community through publications, presentations, and participation in relevant conferences or workshops
provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team
Company
The Dignify Solutions, LLC
The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains).
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase