Data Engineer & AI/ML Specialist

## About the Role Atmosera is seeking a **Data Engineer / AI/ML Specialist** to join its development team and help build a next-generation **AI-powered Electronic Health Record (EHR) MVP** for senior and assisted living facilities. This role will own the design and delivery of data pipelines, AI/ML integrations, and supporting infrastructure required to bring the MVP to life. The position combines **data engineering, AI/ML, healthcare data, cloud technologies, and API integration**. The successful candidate will work in an Agile, cross-functional product environment and collaborate with solution architects and backend/API developers to deliver secure, scalable, HIPAA-compliant capabilities from data ingestion through model integration and API exposure. ## 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 an **Azure SQL** schema. * Build and maintain **Bronze/Silver/Gold medallion data architecture** in Azure Data Lake Storage for application workflows, analytics, and future model training. * Implement and optimize search indexing using **Azure AI Search** for structured and unstructured data. * Integrate **Azure OpenAI or equivalent LLM services** using **Retrieval-Augmented Generation (RAG)** patterns to support natural language query capabilities. * Implement initial predictive analytics models for areas such as: * Fall risk * Infection risk * Medication cost forecasting * Use heuristics or lightweight machine learning models for initial predictive capabilities, with a path toward more advanced modeling. * Develop an initial **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 in **Azure DevOps** using sprint-based development practices. * Pair with backend and 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 knowledge transfer to the client's internal team. * Support **User Acceptance Testing (UAT)** for AI and data features. * Tune models and validate extracted data during testing and UAT. ## Required Qualifications * Hands-on experience with **OCR**, including **Azure Form Recognizer / Azure Document Intelligence**, and unstructured data processing. * Strong **Python** skills for AI pipeline and data processing development. * Experience integrating **Large Language Models (LLMs)**, including Azure OpenAI, with **RAG** patterns. * Knowledge of basic predictive modeling techniques, including: * Classification * Regression * Understanding of healthcare data compliance considerations. * Proficiency with **REST APIs** for integrating external systems such as pharmacy and insurance systems. * Understanding of **HIPAA compliance** and secure handling of **Protected Health Information (PHI)**. * Familiarity with healthcare data formats and workflows, including: * HL7 * FHIR * eMAR * Prior experience working in **Agile, cross-functional product teams**. * Ability to deliver end-to-end solutions from **data ingestion to model integration to API exposure**. * Strong documentation and knowledge-transfer skills. ## Preferred Qualifications * Experience in healthcare software development, including **EHR, EMR, or related healthcare technology**. * Familiarity with **vector search** and **semantic search** concepts. * Experience with **Azure Machine Learning** for model deployment. * Background in predictive analytics for healthcare outcomes. ## Skills & Technologies * Data Engineering * AI/ML * Machine Learning * Python * OCR * Azure Document Intelligence * Azure Form Recognizer * Azure Data Lake Storage * Azure SQL * Azure AI Search * Azure OpenAI * Large Language Models (LLMs) * Retrieval-Augmented Generation (RAG) * Predictive Analytics * Classification * Regression * REST APIs * Vector Search * Semantic Search * Azure Machine Learning * Healthcare Data * EHR / EMR * HL7 * FHIR * eMAR * HIPAA * PHI * Azure DevOps * Agile * Data Pipelines * ETL / Data Transformation * API Integration * Data Modeling * UAT * Technical Documentation * Knowledge Transfer ## Work Arrangement & Employment * **Job Title:** Data Engineer & AI/ML Specialist, Mid Level * **Seniority:** Mid-Senior Level * **Employment Type:** Contract * **Work Arrangement:** Remote * **Location:** Portland, OR, US * **Industry:** Software Development ## Company Information Atmosera helps clients engineer, deploy, and operate cloud architectures with advanced services designed to deliver strategic business outcomes. The company was founded in **1995** and is headquartered in **Beaverton, Oregon, USA**, with a reported team size of **51–200 employees**. ## Additional Information The provided listing includes benefits shown as inferred information, including **medical insurance, vision insurance, and 401(k)**. These items have not been presented as confirmed employer-provided benefits beyond the information stated in the source listing.