AI/ML Engineer - Professional Services (NM+)
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.
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