| GENERATIVE AI DATA ARCHITECT : REMOTE : USA at Remote, Remote, USA |
| Email: [email protected] |
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Please share resume at [email protected] POSITION: GENERATIVE AI DATA ARCHITECT LOCATION: REMOTE, US Generative AI Data Scientist Responsibilities: - Conduct advanced data analysis using Snowflake for business intelligence, ML model development, and enhancement of automation workflows with generative AI. - Design, train, and evaluate AI models using Azure AIML services, focusing on use cases such as text summarization, anomaly detection, and predictive analytics. - Develop and enhance OCR and document intelligence models utilizing Azure Document Intelligence, specifically for critical processes such as License Audit and Product Approval. - Perform rigorous prompt engineering to optimize outputs for the range of generative models in use. - Execute predictive analytics leveraging Google Cloud AI services, orchestrating workflows using GKE Scheduler and PubSub. - Communicate findings effectively using data visualization tools (e.g. PowerBI, Tableau) and contribute to the incorporation of data-driven insights into business processes. - Collaborate closely with product and engineering teams to integrate RAG patterns into core workflows and tools. Skills: - Mastery of Snowflake for advanced data analytics, statistical modeling, and ML pipelines. - Deep understanding and practical experience with Azure AIML services and Google Cloud AIML platforms. - Advanced knowledge of OCR and document intelligence, with significant experience with Azure Document Intelligence and similar tools. - Expertise in cloud-based orchestration with GKE Scheduler, Google Pub/Sub, and other similar services. - Proficiency in statistical analysis, advanced ML model building, and data visualization with relevant tools. - Strong capabilities in prompt engineering for LLMs and other generative AI models. - Experience in working with and building RAG pipelines. -- Keywords: artificial intelligence machine learning information technology GENERATIVE AI DATA ARCHITECT : REMOTE : USA [email protected] |
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| 10:57 PM 31-Jan-25 |