### - Bachelors degree or equivalent experience from an accredited institution - Located within commuting distance of Richardson, TX, or willing to relocate - At least 7 years of development and architectural experience - Strong analytical and design skills with proficiency in design and architecture patterns - 2-3 years of hands-on experience with generative AI models - In-depth understanding of machine learning principles, deep learning architectures, and natural language processing (NLP) - Proficiency in programming languages such as Python and familiarity with deep learning frameworks like TensorFlow or PyTorch - Experience in writing efficient and high-quality code - Familiarity with Open-Source frameworks and tools - Experience in agile methodologies and fast-paced environments - Strong collaboration and communication skills
Responsibilities:
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- Design, develop, and implement generative AI models for diverse applications like text generation and image creation - Fine-tune pre-trained LLMs for specific tasks to ensure optimal performance and alignment with business objectives - Oversee the entire AI development lifecycle, including data preprocessing, model training, optimization, and deployment - Collaborate with data scientists, software engineers, and product managers to outline project requirements and ensure technical feasibility - Keep abreast of the latest developments in generative AI research and actively enhance our AI capabilities - Promote responsible AI practices focusing on bias reduction, fairness, and explainability - Evaluate and assess performance metrics of both new and existing code - Conduct code reviews to uphold quality standards - Execute proof of concepts for emerging technologies
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Company:
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At Infosys, we are seeking an AI Full Stack Hands-on Architect proficient in multiple technologies to lead complex engineering projects. We offer a collaborative and innovative work environment in Richardson, TX, where you will have the opportunity to shape our AI solutions and drive advancements in the field. Our team values ongoing learning, diversity, and participation in technology forums. We welcome candidates authorized to work in the United States without requiring employer-sponsored visas. Travel may be required as per job duties.
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