| Immediate need for Generative AI Data Scientist for our client inthe location is Remote at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2134933&uid= From: Rajesh, IncorporanInc [email protected] Reply to: [email protected] INCORPORAN INC is looking for Generative AI Data Scientist for our client in the location is Remote Title: Generative AI Data Scientist Location: Remote Duration: Long term Project PASSPORT NUMBER AND LINKEDIN ARE MANDATORY Interviews are happening within 24 hours, need to be available Skype and video call is must, please available on requested Time slot Job Description: 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. 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. Please send me your resumes and contact details at [email protected] or call Rajesh at 609-474-4722 Keywords: artificial intelligence machine learning Immediate need for Generative AI Data Scientist for our client inthe location is Remote [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2134933&uid= |
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| 12:12 AM 01-Feb-25 |