Senior AIML Engineer AI Specialist
Share
Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
identify AI Opportunities: Work closely with different departments to identify potential AI use cases that can solve business problems and create value.
Use Case Development: Develop detailed AI use cases including problem statements objectives expected
outcomes and success metrics.
Feasibility Analysis: Conduct feasibility studies to assess the technical and economic viability of proposed AI use cases.
Lead end to end technical solution design leveraging Azure Databricks Azure OpenAI Azure Data Lake and
other Azure services.
Architect scalable data & AI systems including ingestion transformation storage model deployment and
governance.
Define reference architectures best practices and reusable solution patterns.
Ensure solutions align with security compliance and enterprise governance standards.
Design fine tune and optimize LLM based solutions using Azure OpenAI Studio.
Build and demonstrate PoCs pilots and technical accelerators showcasing generative AI capabilities.
Guide teams on RAG architectures embeddings vector databases and enterprise LLMOps.
Collaborate with product and engineering teams to ensure scalable cost-efficient data solutions.
Work closely with business leaders architects and engineering teams to understand requirements and definesolution roadmaps.
Provide trusted advisory on data governance MLOps model risk management and LLM security.
Use Case Development: Develop detailed AI use cases including problem statements objectives expected
outcomes and success metrics.
Feasibility Analysis: Conduct feasibility studies to assess the technical and economic viability of proposed AI use cases.
Lead end to end technical solution design leveraging Azure Databricks Azure OpenAI Azure Data Lake and
other Azure services.
Architect scalable data & AI systems including ingestion transformation storage model deployment and
governance.
Define reference architectures best practices and reusable solution patterns.
Ensure solutions align with security compliance and enterprise governance standards.
Design fine tune and optimize LLM based solutions using Azure OpenAI Studio.
Build and demonstrate PoCs pilots and technical accelerators showcasing generative AI capabilities.
Guide teams on RAG architectures embeddings vector databases and enterprise LLMOps.
Collaborate with product and engineering teams to ensure scalable cost-efficient data solutions.
Work closely with business leaders architects and engineering teams to understand requirements and definesolution roadmaps.
Provide trusted advisory on data governance MLOps model risk management and LLM security.
