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Senior Lead Software Engineer
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CREQ204967 Requisition #

·       Collaborate with cross-functional teams to design and implement Gen AI solutions that meet business requirements.

·       Developing, training, testing, and validating the AI system to ensure it meets the required standards and performs as intended.

·       Design, develop, and deploy Gen AI solutions using advanced LLMs like OpenAI Models, Open Source LLMs (Llama2, Mistral,…), and frameworks like Langchain and Pandas.

·       Leverage expertise in Transformer/Neural Network models and Vector/Graph Databases to build robust and scalable AI systems.

·       Integrate AI models into existing systems to enhance their capabilities.

·       Creating data pipelines to ingest, process, and prepare data for analysis and modeling using Azure services, such as Azure AI Document Intelligence, Azure Databricks etc.

·       Integrate speech-to-text functionality using Azure native services to create user-friendly interfaces for chatbots.

·       Deploying and managing Azure services and resources using Azure DevOps or other deployment tools.

·       Monitoring and troubleshooting deployed solutions to ensure optimal performance and reliability.

·       Ensuring compliance with security and regulatory requirements related to AI solutions.

·       Staying up-to-date with the latest Azure AI technologies and industry developments, and sharing knowledge and best practices with the team.

·       Collaborate with cross-functional teams to design and implement Gen AI solutions that meet business requirements.

·       Developing, training, testing, and validating the AI system to ensure it meets the required standards and performs as intended.

·       Design, develop, and deploy Gen AI solutions using advanced LLMs like OpenAI Models, Open Source LLMs (Llama2, Mistral,…), and frameworks like Langchain and Pandas.

·       Leverage expertise in Transformer/Neural Network models and Vector/Graph Databases to build robust and scalable AI systems.

·       Integrate AI models into existing systems to enhance their capabilities.

·       Creating data pipelines to ingest, process, and prepare data for analysis and modeling using Azure services, such as Azure AI Document Intelligence, Azure Databricks etc.

·       Integrate speech-to-text functionality using Azure native services to create user-friendly interfaces for chatbots.

·       Deploying and managing Azure services and resources using Azure DevOps or other deployment tools.

·       Monitoring and troubleshooting deployed solutions to ensure optimal performance and reliability.

·       Ensuring compliance with security and regulatory requirements related to AI solutions.

·       Staying up-to-date with the latest Azure AI technologies and industry developments, and sharing knowledge and best practices with the team.

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