## 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.