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Pozent Corporation · 4 months ago

GEN AI Architect

Raritan, NJ

Contract

Onsite

Senior Level, Lead/Staff

15+ years exp

Pozent Corporation is seeking a GEN AI Architect with extensive experience in Data Science and Machine Learning, particularly in NLP technologies. The role involves designing and implementing generative models for various NLP tasks while collaborating with cross-functional teams to deliver solutions that meet business needs.

AnalyticsAppsArtificial Intelligence (AI)BlockchainDeveloper APIsEthereumInformation TechnologyMachine Learning

Growth Opportunities

H1B Sponsor Likely

Responsibilities

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

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

Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models

Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed

Exposure to developing Guardrails for LLMs both with open source and cloud native models

Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance

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

Experience on Marklogic is good to have in it

Qualification

NLP technologiesAgentic AI frameworksPython programmingAWS / AzurePharma backgroundCloud native developmentLLM technologiesDeep learning techniquesModel developmentPrompt engineeringData preprocessingModel behavioral analysisGuardrails for LLMsMarklogic

Required

15+ years of experience working in Data science, Machine learning and especially NLP technologies

Strong Architecture experience

Experience with Agentic AI frameworks LangGraph, LlamaIndex etc

Strong understanding of Agents development

Experience with Python programming language

Ability to develop Python code as needed and train the Developers based on business needs

Experience with AWS / Azure ecosystem

Strong understanding of cloud native application development in AWS / Azure

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 (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures