AI/ML Engineer - Professional Services

  Build end-to-end ML and data science pipelines on Azure — ingestion, feature engineering, training, evaluation, and deployment.

•      Develop LLM-powered solutions including RAG pipelines, prompt-engineered workflows, and agentic systems using Microsoft Agent Framework, Semantic Kernel, and Azure AI Foundry.

•      Work with Pharma and MedTech data — commercial, clinical, real-world evidence, HCP/HCO, patient journey — to deliver predictive and generative use cases.

•      Implement and integrate MCP tools and A2A-style agent collaboration patterns into client offerings.

•      Operationalize models and agents using Azure ML and Azure AI Foundry — versioning, monitoring, observability, and responsible-AI guardrails.

•      Collaborate with client stakeholders to translate business problems into solutions and contribute to POCs and proposals.