Data Engineer & AI/ML - WFH

About the Role

We are seeking a **Data Engineer & AI/ML Specialist, Mid Level** to support the development of a next-generation AI-powered Electronic Health Record (EHR) MVP for senior and assisted living facilities. This remote role will focus on designing and delivering data pipelines, AI/ML integrations, and supporting cloud infrastructure.

The ideal candidate will have hands-on experience with healthcare data, OCR, Python, large language models (LLMs), retrieval-augmented generation (RAG), predictive modeling, and Azure services. The role will contribute across the full data and AI lifecycle, from document ingestion and data transformation through model integration, API exposure, testing, and documentation.

Key Responsibilities

* Design, implement, and optimize OCR and data extraction pipelines for PDF referral forms and other healthcare documents.

* Develop data transformation and mapping processes to store extracted information in Azure SQL.

* Build and maintain Bronze, Silver, and Gold data architecture in Azure Data Lake Storage.

* Support application workflows, analytics, and future machine learning model training through scalable data architecture.

* Implement and optimize Azure AI Search indexing for structured and unstructured data.

* Integrate Azure OpenAI or equivalent LLM services using retrieval-augmented generation (RAG) patterns.

* Develop initial predictive analytics models for use cases such as fall risk, infection risk, and medication cost forecasting using heuristics or lightweight machine learning models.

* Develop an MVP compliance AI agent that performs scheduled documentation checks and flags potential violations.

* Collaborate with the Solution Architect to ensure AI components are secure, HIPAA-compliant, and cost-optimized.

* Work within Azure DevOps and sprint-based development processes.

* Collaborate with backend and API developers on AI integration points.

* Participate in architecture and design reviews.

* Provide input on data model decisions and data architecture.

* Document data pipelines, AI integrations, and data flows for knowledge transfer.

* Support user acceptance testing (UAT) for AI and data features.

* Tune models and validate extracted data for accuracy and quality.

* Deliver solutions end-to-end, from data ingestion and processing through model integration and API exposure.

Required Qualifications

* Hands-on experience with OCR, including Azure Form Recognizer or Azure Document Intelligence.

* Experience processing unstructured data.

* Strong Python programming skills for AI pipelines and data processing.

* Experience integrating LLMs, including Azure OpenAI, with RAG patterns.

* Knowledge of predictive modeling techniques such as classification and regression.

* Understanding of healthcare data compliance considerations.

* Proficiency with REST APIs for external system integrations.

* Understanding of HIPAA compliance and secure handling of protected health information (PHI).

* Familiarity with healthcare data formats and workflows, including HL7, FHIR, and eMAR.

* Experience working in agile, cross-functional product teams.

* Ability to develop and deliver end-to-end data and AI solutions.

* Strong documentation and knowledge-transfer skills.

Preferred Qualifications

* Experience building AI-powered healthcare applications or Electronic Health Record (EHR) solutions.

* Experience with Azure Data Lake Storage, Azure SQL, and Azure AI Search.

* Experience with Azure DevOps and sprint-based development.

* Experience developing healthcare-focused predictive analytics or machine learning solutions.

* Experience integrating external healthcare systems and APIs.

* Experience with AI compliance, documentation analysis, or automated validation workflows.

Application

Apply Now to be considered for the **Data Engineer & AI/ML Specialist, Mid Level** remote position.