Senior Machine Learning Engineer, Government (IL5)

The role

You will make the HLM run on Azure OpenAI inside a Department of Defense/War Impact Level 5 (IL5) boundary. You will tune models for quality, latency, and cost, port pipelines, and build evaluations for accuracy and grounding.

What you will do

• Stand up Azure OpenAI and Azure AI Speech in Azure Government and tune them for quality, latency, and cost.
• Move RAG and HLM pipelines onto Azure Government services.
• Build evals for accuracy, grounding, and refusals and report results to the customer.
• Document model versions, prompts, approved images, and data lineage for the ATO.
• Run Voice Capture on Azure AI Speech inside IL5.
• Build access control and audit logging with a full stack engineer.

Required qualifications

• U.S. citizenship is required.
• Hands-on experience deploying ML or LLM systems in a DoD IL5 environment.
• 7+ years in ML or applied AI, owning models that serve real traffic.
• Deep experience with Azure OpenAI or similar hosted models, RAG, vector search (such as Azure AI Search), and evals.
• Comfortable in disconnected or tightly restricted environments.
• Able to pass a U.S. government background investigation.

Nice to have

• Azure Government preferred
• An active clearance is a plus
• Speech and audio ML (ASR, voice synthesis)
• Fine-tuning models on Azure OpenAI or Azure Machine Learning
• Iron Bank / Platform One container pipelines

Benefits

• Equity
• Comprehensive benefits package

Before you apply

• U.S. citizenship is required.
• Apply with an ML system you deployed in IL5: the models, the serving stack, and how you evaluated it. Nothing classified or CUI.

About the company

Uare.ai is the platform for Human-First AI. It runs on a Human Life Model (HLM) that captures seven dimensions of who someone is.