AI/ML Engineer

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OmegaHires

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎯 Recruiter

🏢 Enterprise

Recruitment • Enterprise • IT Services

OmegaHires is a full-service digital and enterprise IT staffing firm that focuses on providing both permanent and contingent workforce solutions across various digital and enterprise technologies. The company specializes in UX development with full stack developers using modern technologies such as React, Angular, and Node. js, as well as microservices development utilizing Java, Scala, Go, and SQL. OmegaHires also provides expertise in integration and big data technologies, DevOps for automated CI/CD pipelines, and enterprise IT management including ERP and SAP systems. Committed to "responsible recruiting," OmegaHires uses unique sourcing and assessment methodologies and offers training and mentorship to ensure candidates meet the evolving needs of their clients.

📋 Description

• 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

• 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

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