AI/ML Engineer

OmegaHires

AI/ML Engineer building governed Azure AI for Medicaid provider enrollment and management. Delivering RAG, document intelligence, and MLOps with human-reviewed decisions.

Posted 8/6/2026contractRemote • 🇺🇸 United StatesMid-LevelSenior💰 $50 - $120 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML engineering with a focus on building and implementing conversational AI and document intelligence systems. Proficient in MLOps practices, Azure services, and regulatory compliance in healthcare environments.

Highest-signal resume keywords

AI/ML EngineeringAzure OpenAI/AI FoundryMLOps ImplementationPython ProficiencyHIPAA Compliance

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Hard Skills

Conversational AI DesignDocument Intelligence PipelinesAI Governance ImplementationModel/Prompt RegistriesREST API DevelopmentOCR and Document ExtractionChunking and EmbeddingsHuman-in-the-Loop SystemsTestable AI Acceptance CriteriaSecure Cloud Deployment

Soft Skills

Collaboration with Product and Business AnalystsIterative Development

Tools & Technologies

Azure MLPower PlatformKubernetes/AKSAPI GatewaysAzure AI SearchAzure AI Document Intelligence

Certifications & Qualifications

Bachelor's in Computer ScienceMaster's in Data Science

Industry Keywords

HIPAAPII/PHI HandlingMedicaidCMS-Regulated Healthcare SystemsProvider Enrollment

Tech Stack

Tools & technologies

AzureCloudKubernetesPython

About the role

Key responsibilities & impact

Design and implement conversational AI/RAG for provider FAQs, guided enrollment chat, and policy-grounded answers
Build document intelligence pipelines for OCR, classification, and form pre-fill/Smart-Start patterns
Implement AI governance, including prompt/version control, grounding, citations, hallucination controls, PII/PHI handling, human-in-the-loop checkpoints, and decision provenance
Establish MLOps with model/prompt registries, evaluation harnesses, CI/CD, monitoring, and environment promotion from Dev through Prod
Integrate AI services with Power Platform, APIs/APIM, and containerized AKS services using secure least-privilege patterns
Define measurable AI acceptance criteria and iterate with product and business analyst partners
Optionally contribute assistive triage/scoring signals on Azure ML for staff review
Deliver production-ready assistive chat/RAG with grounding, audit logging, and safe fallbacks
Deliver reliable document OCR/extraction with measurable accuracy and exception handling
Document an AI governance model accepted by Architecture and Security
Operate an Azure MLOps baseline with registry, promotion path, monitoring, and cost controls

Requirements

What you’ll need

4+ years in AI/ML engineering or applied ML in production systems
Hands-on experience with Azure OpenAI/AI Foundry, Azure ML, Azure AI Search, and/or Azure AI Document Intelligence
Strong experience building RAG systems, including chunking, embeddings, retrieval evaluation, grounding, citations, and safe refusal patterns
Proficiency in Python for AI/ML services
Comfort consuming and producing REST APIs
Practical MLOps experience with versioning, automated evaluation, monitoring, and secure cloud deployment
Understanding of assistive versus authoritative AI in regulated workflows
Ability to design human-in-the-loop systems
Working knowledge of HIPAA or equivalent regulated-data practices, including least privilege, secrets management, and PHI/PII handling
Ability to turn product requirements into testable AI acceptance criteria and ship iteratively
Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or equivalent practical experience
Familiarity with Azure Commercial, HIPAA BAA, Power Platform, Copilot Studio, Dataverse, Kubernetes/AKS, API gateways, Azure network isolation, DMN/rules engines, Medicaid/MMIS/MES, provider enrollment, credentialing, or CMS-regulated healthcare systems is advantageous or useful

Benefits

Comp & perks

Remote work arrangement
Contract duration of 6 months
HIPAA-aligned controls and work with FedRAMP-authorized services where applicable