ML/AI Engineer - Careernet

Implement and manage machine learning and generative AI solutions including LLM/ML automation for scale and efficiency.

Design and deliver industrialized ML processing pipelines and define best practices for ML/LLM operations lifecycle.

Support Data Science teams by implementing MLOps/LLMOps frameworks, gathering technical requirements, and presenting solutions internally and externally.

6+ years of experience with Microsoft Copilot Studio / Azure AI Foundry and enterprise AI agent development.

Strong expertise in AI agent components: topics, triggers, variables, routing, fallback handling, generative answers, RAG, and knowledge grounding.

Experience integrating with Microsoft Power Automate, SharePoint, Dataverse, Teams, Azure AI Search, and Azure OpenAI/Foundry models.

Work Experience Required: 6+ years; Knowledge of Power Platform ALM, Azure services, security, and deployment environments is advantageous but not mandatory.

Experienced ML/AI engineer skilled in enterprise AI agent architectures and integration within Microsoft Azure ecosystem.

Practitioner familiar with implementing and managing ML lifecycle and MLOps/LLMOps in corporate or large-scale environments.

Comfortable working with cross-functional data science and engineering teams to deliver scalable and operationally efficient AI solutions.