Posted:22 hours ago|
Platform:
Hybrid
Full Time
Role & responsibilities Develop and implement generative AI solutions, leveraging Microsofts cutting end technologies Work closely with cross-functional teams to prototype generative AI solutions and validate business needs and requirements Collaborate closely with stakeholders to align solutions to business needs Consider production deployment requirements as part of solution design Optimize solutions using the most appropriate models and design for cost effectiveness, efficiency, and accuracy Collaborate with data scientists to integrate machine learning models into proposed solutions Preferred candidate profile Skills: Proficiency in Python and C# (especially in Azure-integrated environments) Experience with or exposure to the following Microsoft technologies: Azure AI Studio Azure OpenAI Services Azure AI Search (Cognitive Search) Fabric Copilot Studio Cognetive Services (Language, Speech, Vision APIs) Experience with foundation models such as GPT3.5 Turbo, GPT 4.0, etc and RAG (retrieval augmented generation) using Azure AI Search or other vector databases Event Driven Architectures and cloud services that support them (e.g., Azure Service Bus, Kafka, Azure Event Grid, RabbitMQ, etc.) Cloud Software development including coding, testing, and debugging on the Microsoft technology stack including .NET (Core/6+), Entity Framework, C#, Typescript, MS SQL, Azure SQL, CosmosDB Prompt flow and evaluation flow for testing/validating models, and exposure to Azure Content Safety is considered an asset Experience with the following is considered an asset: Data modeling and analytics Azure SQL Azure Synapse Azure Data Bricks Azure Data Factory Certifications : 1. Microsoft Certified: Azure AI Engineer Associate (AI-102) with focus on NLP, vision, responsible AI, Azure Cognitive Services, Azure OpenAI
Eptive
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