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Job Description
Structured overview of role & requirementsAbout This Role
Implement Machine Learning and GenAI solutions into production with focus on scalability and efficiency.
Design and manage industrialized processing pipelines, ensuring ML/LLM operations best practices.
Collaborate with Data Science teams to implement AI/MLOps/LLMOps frameworks and produce technical documentation.
Minimum Requirements
6+ years experience working with Microsoft Copilot Studio and Azure AI Foundry, including building enterprise AI agents.
Strong expertise with Topics, triggers, variables, routing, fallback, Generative Answers, RAG, knowledge grounding.
Experience integrating with Power Automate, SharePoint, Dataverse, Teams, Azure AI Search, and Azure OpenAI/Foundry models.
Work Experience Required: 6+ years in relevant AI/ML platforms; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in enterprise AI agent development using Microsoft AI stack with operationalizing ML models in production.
Familiar with Power Platform ALM, Azure services and deployment environments (DEV/UAT/PROD).
Capable of designing and troubleshooting generative AI solutions with knowledge of metadata retrieval, multilingual handling, and prompt engineering.