Data Engineer and AI/ML Specialist

# Data Engineer & AI/ML Specialist, Mid Level (Remote) ## About the Role Atmosera is seeking an experienced Data Engineer / AI/ML Specialist to join its development team building a next-generation AI-powered Electronic Health Record (EHR) MVP for senior and assisted living facilities. The role will own the design and delivery of data pipelines, AI/ML integrations, and supporting infrastructure required to bring the MVP to life. The successful candidate will work across data ingestion, transformation, AI/ML integration, search, APIs, and healthcare data workflows while collaborating with solution architects and backend/API developers. The role also includes supporting secure, HIPAA-compliant, and cost-optimized AI implementations. ## 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 data in an Azure SQL schema. * Build and maintain Bronze/Silver/Gold medallion data architecture in Azure Data Lake Storage. * Support application workflows, future analytics, and 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 fall risk, infection risk, and medication cost forecasting using heuristics or light ML models. * Develop an MVP compliance AI agent to perform scheduled documentation checks and flag potential violations. * Collaborate with the Solution Architect to ensure AI components are secure, HIPAA-compliant, and cost-optimized. * Work in Azure DevOps using sprint-based development practices. * Collaborate with backend/API developers on AI integration points. * Participate in architecture and design reviews. * Provide input on data model decisions. * Document data pipelines, AI integrations, and data flows for future client handoff. * Support UAT for AI and data features. * Tune models and validate extracted data during UAT. ## Required Qualifications * Hands-on experience with OCR, including Azure Form Recognizer / Azure Document Intelligence. * Experience processing unstructured data. * Strong Python skills for AI pipeline and data processing development. * Experience integrating LLMs, including Azure OpenAI, with RAG patterns. * Knowledge of basic predictive modeling techniques, including classification and regression. * Knowledge of healthcare data compliance considerations. * Proficiency with REST APIs for external system integrations. * Understanding of HIPAA compliance and secure handling of PHI. * Familiarity with healthcare data formats and workflows, including HL7, FHIR, and eMAR. * Experience working in agile, cross-functional product teams. * Ability to deliver end-to-end solutions from data ingestion through model integration and API exposure. * Strong documentation and knowledge transfer skills. ## Preferred Qualifications * Experience in healthcare software development, including EHR, EMR, or related domains. * Familiarity with vector search and semantic search concepts. * Experience with Azure Machine Learning for model deployment. * Background in predictive analytics for healthcare outcomes. ## Skills & Competencies * Data engineering * AI/ML development * Python * OCR and document data extraction * Unstructured data processing * Azure OpenAI * Large language models (LLMs) * Retrieval-augmented generation (RAG) * Predictive modeling * Classification and regression * Azure SQL * Azure Data Lake Storage * Azure AI Search * REST APIs * Healthcare data and interoperability * HL7, FHIR, and eMAR * HIPAA and PHI security * Agile development * Azure DevOps * Data architecture and modeling * Documentation and knowledge transfer * UAT and model validation ## Education & Experience **Education** * No specific education requirement is stated in the job description. **Experience** * Mid-level / Mid-Senior level role. * Hands-on experience in OCR, unstructured data processing, Python-based AI/data pipelines, LLM/RAG integration, REST APIs, healthcare data workflows, and agile product development is required as specified above. ## Work Arrangement & Schedule * **Work Arrangement:** Remote * **Employment Type:** Contract * **Seniority Level:** Mid-Senior level * **Schedule:** Sprint-based development within an agile environment. * **Location:** Remote; the source listing also references the Portland, Oregon metropolitan area. ## Compensation & Benefits * The job description does not provide compensation for this specific role. * The listing includes inferred benefits such as medical insurance, vision insurance, and 401(k); these are presented as inferred information rather than confirmed job benefits. ## Compliance / Additional Information * The role involves healthcare data and requires understanding of HIPAA compliance and secure handling of Protected Health Information (PHI). * AI components must be developed with security, HIPAA compliance, and cost optimization considerations. * The position is associated with Atmosera. 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