AI Architect

Locations :

Richardson, TX/ Bridgewater, NJ/Raleigh, NC /Charlette, NC /Phoenix, AZ / Houston, TX Required Skill and Experience Core development & architecture experience Strong Analysis and Design skills with deep expertise in core development, design & architect experience, implement design patterns, architecture patterns Experience in developing and applying generative AI models. Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Experience in programming languages like Python and familiarity with deep learning frameworks like TensorFlow or PyTorch. Design, develop, and deploy generative AI models for various applications, such as text generation, image creation, and code synthesis (depending on the specific focus of the company). Fine-tune pre-trained LLMs for specific tasks and domains, ensuring optimal performance and alignment with business goals. Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment. Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly. Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities. Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability Experience in Open-Source frameworks and tools Ability to write good quality and highly performant code Evaluate and review performance aspects of new and existing code. Perform code reviews to ensure that quality is being maintained. Perform POCs for any new technologies that we may leverage. Experience in working in a fast-paced and agile environment Effective collaboration and communication skills Preferred Skill and Experience Master s degree in computer science, Artificial Intelligence, or a related field (or equivalent experience). Experience in cloud-based platforms like OpenShift, AWS, Google Cloud Platform, Azure Experience in Fine tuning Open-Source AI Models Strong understanding of one or more Domain expertise and associated Industry standards Industry-acclaimed External Certifications, if applicable Active participation in Technology forums Contribution to Open-Source Community.