| Gen AI Architect : UGH : Hartford, CT at Hartford, Connecticut, USA |
| Email: [email protected] |
| From: Lisa, Hanstaffing [email protected] Reply to: [email protected] Experience: 10+ years of experience in IT architecture and software development. 5+ years of experience in AI/ML, including hands-on experience with generative AI models (e.g., GPT, GANs, VAEs). Proven experience in architecting and deploying large-scale AI solutions in an enterprise environment. Technical Skills: Deep understanding of generative AI algorithms, data structures, and software design principles. Proficiency in programming languages such as Python, R, Java, or C++. Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Keras). Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services. Knowledge of data warehousing, ETL processes, and data governance.\\ Key Responsibilities: Generative AI Strategy Development: Develop and implement the strategic roadmap for generative AI initiatives in alignment with business goals. Stay abreast of the latest advancements in generative AI and assess their potential impact on the organization. Architectural Leadership: Lead the design and architecture of scalable, reliable, and secure generative AI solutions. Ensure generative AI architectures align with enterprise-wide architecture standards and principles. Collaborate with other architects and IT leaders to integrate generative AI solutions into the broader enterprise architecture. Solution Design and Implementation: Design end-to-end generative AI pipelines, from data collection and model training to deployment and monitoring. Implement best practices for data management, model development, deployment, and continuous improvement. Ensure solutions are robust, maintainable, and meet high standards of performance and security. Keywords: cplusplus artificial intelligence machine learning rlang information technology Gen AI Architect : UGH : Hartford, CT [email protected] |
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| Sat Jun 15 01:45:00 UTC 2024 |