AI engineer in LLMOps

Build an internal AI-based Data Modeling tool where a Data Architect can ask AI to create a model according to customer standards, review and refine it through a Databricks web application, approve it, and deploy the approved schema into Databricks Unity Catalog. Seeking an experienced Overseas Contractor specialized in Azure Open AI Service and GenAI LLMOps within the Python DataAI domain to drive advanced AI solutions

• Design develop and deploy AI models leveraging Azure Open AI Service and GenAI LLMOps technologies
• Collaborate with crossfunctional teams to integrate AI capabilities into enterprise applications
• Utilize Python for data processing model development and AI solution implementation
• Optimize and maintain AI workflows ensuring scalability reliability and performance
• Stay updated with the latest advancements in AI machine learning and cloud services to enhance solution effectiveness
• Work in an agile environment to deliver AIdriven features and enhancements aligned with business goals
• Lead the endtoend lifecycle of AI model development and deployment on Azure Open AI Service
• Manage and monitor LLMOps pipelines to ensure continuous integration and delivery of AI models
• Collaborate with data scientists engineers and stakeholders to define technical requirements and project scope
• Troubleshoot and resolve issues related to AI model performance and cloud infrastructure
• Provide technical guidance and mentorship to junior team members within the PythonData AI skill cluster
• Ensure compliance with security and data privacy standards during AI solution implementation
• Document AI workflows architecture and best practices to support knowledge sharing and operational excellence

• Azure Open AI Service, GenAI - LLMOps
• should be able to update the Skills and instructions in the open solution
• Будет плюсом: Python-Data-AI

• Условий в вакансии нет