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Data Science- AI/Azure/LLM


LTIMindtree


Location

New Delhi | India


Job description

Primary Skills:

AI, AzureOpenAI, Azure AI, LLM Total experience- 7 to 12 years Location: Pune/ Mumbai/ Hyderabad/ Chennai/ Bangalore/ Kolkata/ Delhi/ Noida/Coimbatore/ Bhubaneswar Notice period- Immediate to 30 days Shift Timings- 6:00PM to 3:00 AM

5+ years of IT experience and minimum of 5+ years of experience on Azure Open AI, Cognitive services, Cognitive Search, Azure Open AI Embedding Models - text-embedding-ada-002, Azure Open AI Chat and Completion Models - Text-davinci-003, GPT-3.5-turbo, GPT-4, Azure Cognitive Services - Speech To text, Translator and Computer Vision, Vector databases, embeddings, LangChain, Python, Prompting techniques. Looking for experience on Azure App Service, Azure Bot Framework, Azure Functions, Azure SQL , Azure Cognitive Search, Azure Blob Storage JavaScript frameworks, Python, .Net Lead technical design, technical direction, and solution Provide a comprehensive end to end architecture for the stakeholder’s business and technical requirements. Ensuring the solution aligns across the business for people, process and systems domains Gather business and technical requirements from internal and external stakeholders in order to produce a requirements specification document. Analyze and investigate possible solutions in order to meet the customer's business and technical requirements. Produce professional high-level solution descriptions and obtain customer acceptance of these solutions. Be responsible for the technical solution through all phases of the project, support the project managers and work within a defined change management process Secondary Skills: • Strong experience of technically leading complex projects throughout the complete IT lifecycle (Analysis, Architecture, Design, Build, Test & Production) • Experience of working in a matrix organization • Experience of technically leading projects throughout the complete IT Development Lifecycle from requirements capture to handover and knowledge transfer. • The candidate will have the capability to organize and run requirement capture workshops as well as proactively listening to user needs. • The candidate should be able to lead the customer relationships


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