Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Lorhan Corporation, is seeking the following. Apply via Dice today!
Lorhan Corp is looking for Gen AI Architect/SME (Looking for the Candidate near Texas)
Job Title: GenAI Architect/ SME
Work Location: Irving TX Hybrid
Duration : Long term
Contract : Corp-Corp
Visa Status : H1B, EAD,GC
Note : Needed Passport Number for the submission process
Responsibilities
Lead the design, development, and deployment of generative AI models and solutions.
Collaborate with cross-functional teams to identify and prioritize AI-driven opportunities.
Provide expertise in AI model training, fine-tuning, and optimization.
Fine-tune open-source models and/or build telecom specific Generative AI models
Develop and implement best practices for AI model development and deployment.
Stay up-to-date with the latest advancements in generative AI and related fields and make recommendations for improvements
Mentor and guide junior team members in AI-related projects.
Ensure AI solutions meet business requirements and performance standards.
Conduct research and experiments to explore new AI techniques and methodologies.
Communicate complex AI concepts to non-technical stakeholders effectively.
Collaborate with cross-disciplinary teams – developers, other data scientists, data analysts, business
Monitor and correlate inputs and outputs, establish meaningful metrics
Lead and act as a technical liaison between business, executive, and data science teams to deliver POCs / pilots on a need basis.
Requirements
Experience in data science, with a focus on generative AI technology/data science
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python)
Ability to work independently and as part of a team in a fast-paced environment
Hands-on fine-tuning AI models (SBERT, ScaNN, PaLM, ChatGPT, LLM)
Strong background in Natural Language Processing, including experience with text representation, language modeling, sequence-to-sequence architectures, and semantic understanding
Technical skills: Data science, Python, Javascript, MongoDB, AWS/Google Cloud Platform, API Programming, vertex.ai
Strong expertise in generative AI techniques, including but not limited to:
Generative Adversarial Networks (GANs)
Variational Autoencoders (VAEs)
Transformer models (e.g., GPT-3, GPT-4)
Publications or contributions to the AI community through research papers, open-source projects, or conference presentations.
Experience with AI ethics and responsible AI practices.
Familiarity with MLOps and continuous integration/continuous deployment (CI/CD) for AI projects.